IDEAL 2018: 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING

This page contains an index consisting of author-provided keywords.

A
Active Learning	Handwritten Character Recognition using Active Semi-Supervised Learning
activity monitoring	On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications
Activity recognition	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
AdaBoost	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
ADR	Specifics Analysis of Medical Communities in Social Network Services
Air Travel	Optimizing Meta-Heuristics for the Time-Dependent Traveling Salesman Problem Applied to Air Travels
alpha and theta training	Peak Alpha Based Neurofeedback Training within Survival Shooter Game
Alpha-separator	A metaheuristic approach for the α-separator problem
Alt-Right	Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
Ambient Assisted Living	Intelligent wristbands for the automatic detection of emotional states for the elderly
Andalusian universities	Measuring the impact of the international relationships of the Andalusian universities using Dimensions database
anomaly detection	Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams Anomaly Detection in Spatial Layer Models of Autonomous Agents Single-class bankruptcy prediction based on the data from annual reports
Ant Colony Optimization	Optimizing Meta-Heuristics for the Time-Dependent Traveling Salesman Problem Applied to Air Travels
Apache Spark	Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction
archetypal analysis	A Study of Fuzzy Clustering to Archetypal Analysis
ARIMA	An approximation to Deep Learning touristic-related time series forecasting
Article Structure	Semantic WordRank: Generating Finer Single-Document Summarizations
Artifact	An ELM based Regression Model for ECG Artifact Minimization from Single Channel EEG
Artificial Bee Colony	An Artificial Bee Colony algorithm for optimizing the design of sensor networks
Artificial intelligence	GELAB – A Matlab Toolbox for Grammatical Evolution
artificial visión	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
Asset Management	On Application of Learning to Rank for Assets Management: Warehouses Ranking
Association rule mining	Differential evolution for association rule mining using categorical and numerical attributes
ATM fraud	ATM Fraud Detection using Outlier Detection
Attribute selection	Different Approaches of Data and Attribute Selection on Headache Disorder
Authorship Attribution	Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods
Autoencoders	A first approach to face dimensionality reduction through denoising autoencoders
Automatic programming	GELAB – A Matlab Toolbox for Grammatical Evolution
Autonomous Agents	Anomaly Detection in Spatial Layer Models of Autonomous Agents
Autonomous CCTV Surveillance	CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection using Generative Adversarial Network
Autoregressive models	Distribution-based discretisation and ordinal classification applied to wave height prediction
B
Bag of words	Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis
bankruptcy	Single-class bankruptcy prediction based on the data from annual reports
bare bones fireworks algorithm	Bare Bones Fireworks Algorithm for Medical Image Compression
Bartlett sphericity	Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models
Bat algorithm	Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
Bayesian networks	Multi-Dimensional Bayesian Network Classifier Trees
Bayesian Optimization	Suggesting Cooking Recipes Through Simulation and Bayesian Optimization
Bibliographic data	Evidence-based Systematic Literature Reviews in the Cloud
Bibliographic network	Constructing bibliometric networks from Spanish doctoral Theses
Bibliometric analysis	Measuring the impact of the international relationships of the Andalusian universities using Dimensions database
Bibliometric network analysis	Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field
Big Data	Reusable Big Data System for Industrial Data Mining - A case study on Anomaly Detection in Chemical Plants Low Level Big Data Processing MapReduce model for Random Forest algorithm: experimental studies Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field
Bio-inspired computation	Community Detection in Weighted Directed Networks using Nature-inspired Heuristics
Biometric identification	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems
BLAS	Low Level Big Data Processing
Blockchain	Towards the intelligent agents for blockchain e-voting system
Bumblebee	Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
C
Cardiac murmur	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems
Cartesian genetic programming(CGP)	Signal Reconstruction using Evolvable Recurrent Neural Networks
Catastrophic Forgetting	Improving SeNA-CNN by Automating Task Recognition
Categorical Data	Low Level Big Data Processing
chatbot	Chatbot Theory: A Naı̈ve and Elementary Theory for Dialogue Management
Cholesky factorization	A fast Metropolis-Hastings method for generating random correlation matrices
class imbalance	Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset
Classification	Combined classifier based on quantized subspace class distribution Overlap-Based Undersampling for Improving Imbalanced Data Classification Machine Learning Methods based Preprocessing to improve Categorical Data Classification Linguistic Features to Identify Extreme Opinions: An Empirical Study MapReduce model for Random Forest algorithm: experimental studies Imbalanced data classification based on feature selection techniques EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection A first approach to face dimensionality reduction through denoising autoencoders Differential evolution for association rule mining using categorical and numerical attributes Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
Classification problems	Machine Learning for drugs prescription
classification trees	Multi-Dimensional Bayesian Network Classifier Trees
Classifier Calibration	Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
classifier ensemble	Combined classifier based on quantized subspace class distribution
Clinical decision support	Different Approaches of Data and Attribute Selection on Headache Disorder
Cloud Intrusion Detection Model	Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets
clustering	Data Set Partitioning in Evolutionary Instance Selection Machine Learning Methods based Preprocessing to improve Categorical Data Classification Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation Finding the Importance of Facial Features in Social Trait Perception
Co-committee members	Constructing bibliometric networks from Spanish doctoral Theses
Coclustering	Exploring coclustering for serendipity improvement in content-based recommendation
collaborative filtering	An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information
Combinatorial optimization	An Artificial Bee Colony algorithm for optimizing the design of sensor networks
Combining Classifiers	Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods
Committees	Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms
Community Detection	Community Detection in Weighted Directed Networks using Nature-inspired Heuristics
Community Finding Problems	Design of Japanesse Tree Frog algorithm for Community Finding Problems
Compositional Finite-sum Optimization	Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Compositional Stochastic Gradient Descent	Compositional Stochastic Average Gradient for Machine Learning and Related Applications
compound local binary pattern	Compound local binary pattern and enhanced Jaya optimized extreme learning machine for digital mammogram classication
Compression	Low Level Big Data Processing Bare Bones Fireworks Algorithm for Medical Image Compression
Computer science	Constructing bibliometric networks from Spanish doctoral Theses
computer-aided diagnosis	Compound local binary pattern and enhanced Jaya optimized extreme learning machine for digital mammogram classication
Constrained Role Mining	PostProcessing in Constrained Role Mining
contamination	Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset
Content-based Recommender Systems	Exploring coclustering for serendipity improvement in content-based recommendation
Convex Optimization	Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Convolution	New Fuzzy Singletons Distance Measure by Convolution
Convolutional Neural Network	Predicting the Household Power Consumption using CNN- LSTM Hybrid Networks Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms
Convolutional Neural Networks	Deep Neural Networks with Markov Random Field Models for Image Classification Improving SeNA-CNN by Automating Task Recognition
Cooking	Suggesting Cooking Recipes Through Simulation and Bayesian Optimization
Correlation matrix	A fast Metropolis-Hastings method for generating random correlation matrices
Cost-sensitive classification	Applying cost-sensitive classifiers with reinforcement learning to IDS
critical nodes	A metaheuristic approach for the α-separator problem
crowdsourcing	CGLAD: using GLAD in crowdsourced large datasets
D
data analysis	Exploring the Perceived Usefulness and Attitude Towards using Tesys e-Learning Platform
Data Center	Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
data mining	Reusable Big Data System for Industrial Data Mining - A case study on Anomaly Detection in Chemical Plants ATM Fraud Detection using Outlier Detection Data Pre-processing to apply Multiple Imputation techniques: A case study on real-world census data Causal rules detection in streams of unlabeled, mixed type values with finit domains Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
Data Preparation	Data Pre-processing to apply Multiple Imputation techniques: A case study on real-world census data
Data selection	Different Approaches of Data and Attribute Selection on Headache Disorder
Data stream	A cluster-based prototype reduction for online k-NN classification
data understanding	On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications
Data-driven diagnostic	Intelligent Rub-Impact Fault Diagnosis based on Genetic Algorithm-based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
DCGAN	Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models
DDoS Attack	Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets
Deep Boltzmann Machine	Learning Optimal Q-function using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency
Deep learning	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics Predicting the Household Power Consumption using CNN- LSTM Hybrid Networks Deep Learning-based Approach for the Semantic Segmentation of Bright Retinal Damage Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks A first approach to face dimensionality reduction through denoising autoencoders
Deep Reinforcement Learning	Learning Optimal Q-function using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency
deep-learning	Deep-Learning-based Classification of Rat OCT images after Intravitreal Injection of ET-1 for Glaucoma Understanding
Denoising autoencoders	A first approach to face dimensionality reduction through denoising autoencoders
dialogue manager	Chatbot Theory: A Naı̈ve and Elementary Theory for Dialogue Management
Differential evolution	Differential evolution for association rule mining using categorical and numerical attributes
Dimensionality reduction	Generalized low-computational cost Laplacian eigenmaps A first approach to face dimensionality reduction through denoising autoencoders
Dimensions.ai	Measuring the impact of the international relationships of the Andalusian universities using Dimensions database
direct trust	Effective centralized trust management model for Internet of Things
Distribution fitting	Distribution-based discretisation and ordinal classification applied to wave height prediction
Diversity	EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
Doc2Vec	A new approach for implicit citation extraction
dynamic weighted majority method	Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning
E
e-Learning	Exploring the Perceived Usefulness and Attitude Towards using Tesys e-Learning Platform Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System
E-voting	Towards the intelligent agents for blockchain e-voting system
E-voting system	Towards the intelligent agents for blockchain e-voting system
ECG	An ELM based Regression Model for ECG Artifact Minimization from Single Channel EEG
Echo state networks	Wind power ramp events ordinal prediction using minimum complexity echo state networks
EEG	An ELM based Regression Model for ECG Artifact Minimization from Single Channel EEG
Eigenvector centrality	Specifics Analysis of Medical Communities in Social Network Services
Electrocardiography	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems
ELM	An ELM based Regression Model for ECG Artifact Minimization from Single Channel EEG
Emotional Models	Intelligent wristbands for the automatic detection of emotional states for the elderly
Empirical mode decomposition	Intelligent Rub-Impact Fault Diagnosis based on Genetic Algorithm-based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
energy consumption	Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning
ensemble learning	Instance-based stacked generalization for transfer learning Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning
Ensemble Selection	EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
Ensembles	Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms
Entropy Measure	EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
event log	Automated, Nomenclature Based Data Point Selection For Industrial Event Log Generation
event logs	Creation of an event log from machinery monitoring system on a selected example
evolutionary algorithms	Data Set Partitioning in Evolutionary Instance Selection
Evolutionary computation	Differential evolution for association rule mining using categorical and numerical attributes
External dimensions	Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models
extreme learning machine	Compound local binary pattern and enhanced Jaya optimized extreme learning machine for digital mammogram classication
Extreme Learning Machines	Merging ELMs with Satellite Data and Clear-sky models for Effective Solar Radiation Estimation
Extreme Opinion	Linguistic Features to Identify Extreme Opinions: An Empirical Study
Extremism	Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
Exudates	Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images Deep Learning-based Approach for the Semantic Segmentation of Bright Retinal Damage
F
Far-Right	Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
Fault detection	Support Vector Machine Based Method For High Impedance Fault Diagnosis in Power Distribution Networks
Fault location	Support Vector Machine Based Method For High Impedance Fault Diagnosis in Power Distribution Networks
Feature Discovery	Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
Feature Engineering	Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
Feature extraction	Intelligent Rub-Impact Fault Diagnosis based on Genetic Algorithm-based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
Feature Selection	Imbalanced data classification based on feature selection techniques Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
Feature Space	Exploring Online Novelty Detection Using First Story Detection Models
Feature transformation	Feature selection and interpretable feature transformation: a preliminary study on feature engineering for classification algorithms
fingerprinting	Semi-Supervised Learning to Reduce Data Needs of Indoor Positioning Models
Firefly Algorithm	Community Detection in Weighted Directed Networks using Nature-inspired Heuristics
First Story Detection (FSD)	Exploring Online Novelty Detection Using First Story Detection Models
Form Applications	A framework for form applications that use machine learning
formal theory	Chatbot Theory: A Naı̈ve and Elementary Theory for Dialogue Management
Forms	A framework for form applications that use machine learning
Framework	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics A framework for form applications that use machine learning
Fundus images	Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models Deep Learning-based Approach for the Semantic Segmentation of Bright Retinal Damage
Fuzzy C-means	Overlap-Based Undersampling for Improving Imbalanced Data Classification
fuzzy clustering	A Study of Fuzzy Clustering to Archetypal Analysis Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
Fuzzy Distance	New Fuzzy Singletons Distance Measure by Convolution
Fuzzy Logic	An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information
fuzzy validation indices	A Study of Fuzzy Clustering to Archetypal Analysis
G
gaussian process	Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
General Structure	General Structure Preserving Network Embedding
Generalized methodology	Generalized low-computational cost Laplacian eigenmaps
Generative Adversarial Network	CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection using Generative Adversarial Network
Generative Adversarial Networks	Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model
Genetic algorithm	Intelligent Rub-Impact Fault Diagnosis based on Genetic Algorithm-based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
Genetic algorithm GA	An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams
Genetic Algorithms	Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms Finding the Importance of Facial Features in Social Trait Perception EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Gland unit identification	Identification of individual glandular regions using LCWT and machine learning techniques
glaucoma	Deep-Learning-based Classification of Rat OCT images after Intravitreal Injection of ET-1 for Glaucoma Understanding
gradient boosting	Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset
gradient descent	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
grammar induction	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping
Grammatical evolution	GELAB – A Matlab Toolbox for Grammatical Evolution
Granulometries	Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Graph problems	Crossover Operator using Knowledge Transfer for the Firefighter Problem Knowledge-based Solution Construction for Evolutionary Minimization of Systemic Risk
GRASP	A metaheuristic approach for the α-separator problem
H
Handwritten Character Recognition	Handwritten Character Recognition using Active Semi-Supervised Learning
handwritten digit recognition	Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks
Hashtags	Extending Independent Component Analysis on Online Social Media for Event Detection
Hate speech	On Detecting Online Radicalization Using Natural Language Processing
HCI	Exploring the Perceived Usefulness and Attitude Towards using Tesys e-Learning Platform
Headache	Different Approaches of Data and Attribute Selection on Headache Disorder
Health systems	Machine Learning for drugs prescription
Heterogeneous Ensemble	EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
High dimensionality	A first approach to face dimensionality reduction through denoising autoencoders
High impedance fault	Support Vector Machine Based Method For High Impedance Fault Diagnosis in Power Distribution Networks
Histological prostate image	Identification of individual glandular regions using LCWT and machine learning techniques
HOLT Winters algorithm	An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams
Homogeneous Ensemble	EMnGA : Entropy Measure and Genetic Algorithms Based Method for Heterogeneous Ensembles Selection
Human Activity Recognition	Unsupervised Domain Adaptation for Human Activity Recognition
hybrid classifiers	Multi-Dimensional Bayesian Network Classifier Trees
Hybrid sentence representation	Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis
I
Image classification	Deep Neural Networks with Markov Random Field Models for Image Classification
Image representations	Deep Neural Networks with Markov Random Field Models for Image Classification
image segmentation	Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation
Imbalanced Data	Overlap-Based Undersampling for Improving Imbalanced Data Classification Imbalanced data classification based on feature selection techniques
imbalanced learning	Single-class bankruptcy prediction based on the data from annual reports
Immersion Cooling	Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
Implicit Citation Extraction	A new approach for implicit citation extraction
Imputation Methods	Data Pre-processing to apply Multiple Imputation techniques: A case study on real-world census data
Independent component analysis	Extending Independent Component Analysis on Online Social Media for Event Detection
indirect trust	Effective centralized trust management model for Internet of Things
indoor-localisation	Semi-Supervised Learning to Reduce Data Needs of Indoor Positioning Models
Industrial environment	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
industrial event log	Automated, Nomenclature Based Data Point Selection For Industrial Event Log Generation
industrial event logs	Mining Attributed Interaction Networks on Industrial Event Logs
Information Management	Bibliometric network analysis to identify the intellectual structure and evolution of the Big Data research field
Information retrieval	Evidence-based Systematic Literature Reviews in the Cloud
instance selection	Data Set Partitioning in Evolutionary Instance Selection
intelligent agents	Towards the intelligent agents for blockchain e-voting system
Intelligent rub-impact fault diagnosis	Intelligent Rub-Impact Fault Diagnosis based on Genetic Algorithm-based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models
Interface evaluation	Exploring the Perceived Usefulness and Attitude Towards using Tesys e-Learning Platform
Internal and individual dimensions and double presence	Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models
International Collaboration	Measuring the impact of the international relationships of the Andalusian universities using Dimensions database
interpretability	Causal rules detection in streams of unlabeled, mixed type values with finit domains
Intersection	Extended Min-Hash Focusing on Intersection Cardinality
Intrusion detection	Applying cost-sensitive classifiers with reinforcement learning to IDS
IoT	On Application of Learning to Rank for Assets Management: Warehouses Ranking Effective centralized trust management model for Internet of Things
Isotonic Regression	Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
J
Jaccard Similarity	Exploring coclustering for serendipity improvement in content-based recommendation
Japanesse Tree Frog	Design of Japanesse Tree Frog algorithm for Community Finding Problems
jaya algorithm	Compound local binary pattern and enhanced Jaya optimized extreme learning machine for digital mammogram classication
Jihadism	RiskTrack: assessing the risk of Jihadi radicalization on Twitter using linguistic factors. Jihadi radicalized women in Spain: a profile
JPEG	Bare Bones Fireworks Algorithm for Medical Image Compression
K
K nearest neighbors	Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction
Kaiser-Meyer-Olkin	Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models
Kernel approximations	Generalized low-computational cost Laplacian eigenmaps
kernel methods	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
kernels	Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
keystroke dynamics for authentication	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
kNN Prototyping	A cluster-based prototype reduction for online k-NN classification
Knowledge Discovery	Monitoring Equipment Operation through Model and Event Discovery
Knowledge-based optimization	Crossover Operator using Knowledge Transfer for the Firefighter Problem Knowledge-based Solution Construction for Evolutionary Minimization of Systemic Risk
L
LBP	Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Learn to Rank	On Application of Learning to Rank for Assets Management: Warehouses Ranking
Learning Analytics	Understanding Learner's Drop-out in MOOCs
learning environment	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
Learning Flight	Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
least-squares anomaly detection	Single-class bankruptcy prediction based on the data from annual reports
Lifelong learning	Improving SeNA-CNN by Automating Task Recognition
linguistic features	Linguistic Features to Identify Extreme Opinions: An Empirical Study
Literature overview	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
Locally constrained watershed transform	Identification of individual glandular regions using LCWT and machine learning techniques
log generation	Automated, Nomenclature Based Data Point Selection For Industrial Event Log Generation
Long short-term memory	Predicting the Household Power Consumption using CNN- LSTM Hybrid Networks
longwall face	Creation of an event log from machinery monitoring system on a selected example
low-computational cost	Generalized low-computational cost Laplacian eigenmaps
LSTM	An approximation to Deep Learning touristic-related time series forecasting
M
Machine Learning	A framework for form applications that use machine learning Compositional Stochastic Average Gradient for Machine Learning and Related Applications Identification of individual glandular regions using LCWT and machine learning techniques Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets Machine Learning Methods based Preprocessing to improve Categorical Data Classification Suggesting Cooking Recipes Through Simulation and Bayesian Optimization Imbalanced data classification based on feature selection techniques Data Pre-processing to apply Multiple Imputation techniques: A case study on real-world census data GELAB – A Matlab Toolbox for Grammatical Evolution Machine Learning for drugs prescription Different Approaches of Data and Attribute Selection on Headache Disorder
machinery operation analysis	Creation of an event log from machinery monitoring system on a selected example
Mahalanobis distance	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
Malicious Software	Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model
Malware Detection	Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model
mammography	Compound local binary pattern and enhanced Jaya optimized extreme learning machine for digital mammogram classication
Manufacturing	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
Mapping study	Evidence-based Systematic Literature Reviews in the Cloud
MapReduce	Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction MapReduce model for Random Forest algorithm: experimental studies
Markov random field	Deep Neural Networks with Markov Random Field Models for Image Classification
MASE	An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams
Massive Open Online Courses	Understanding Learner's Drop-out in MOOCs
matrix factorization	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
MCDA	On Application of Learning to Rank for Assets Management: Warehouses Ranking
medical image processing	Bare Bones Fireworks Algorithm for Medical Image Compression
Medical imaging	Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models
Medical network	Specifics Analysis of Medical Communities in Social Network Services
Medicines prescriptions	Machine Learning for drugs prescription
meta-classifiers	Multi-Dimensional Bayesian Network Classifier Trees
Meta-Learning	Weighted Voting and Meta-Learning for Combining Authorship Attribution Methods
Meta-Optimization	Optimizing Meta-Heuristics for the Time-Dependent Traveling Salesman Problem Applied to Air Travels
Metaheuristic	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics
metaheuristics	Bare Bones Fireworks Algorithm for Medical Image Compression Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Meteosat data	Merging ELMs with Satellite Data and Clear-sky models for Effective Solar Radiation Estimation
Metropolis-Hastings	A fast Metropolis-Hastings method for generating random correlation matrices
Min-Hash	Extended Min-Hash Focusing on Intersection Cardinality
Minimal Learning Machine	Optimally Selected Minimal Learning Machine
missing audio samples	Signal Reconstruction using Evolvable Recurrent Neural Networks
Missing Data	Machine Learning Methods based Preprocessing to improve Categorical Data Classification
mobile devices	On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications
Modeling Drop-out	Understanding Learner's Drop-out in MOOCs
Modelling	Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
monitoring system	Creation of an event log from machinery monitoring system on a selected example
motif discovery	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping
MTree	Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation
multi-agent system	Towards the intelligent agents for blockchain e-voting system
Multi-dimensional and multi-label supervised classification problems	Multi-Dimensional Bayesian Network Classifier Trees
Multi-Label Classification	Machine Learning for drugs prescription
Multi-layer perceptron	Identification of individual glandular regions using LCWT and machine learning techniques
Multi-objective optimization	Studying the effect of measured solar power on evolutionary multi-objective prediction intervals
Multi-Step prediction	Deep Learning applied to Wind Energy Forecasting
multiple annotators	CGLAD: using GLAD in crowdsourced large datasets
multiple kernel learning	Generalized low-computational cost Laplacian eigenmaps
Multiple-Classifier System	Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
Multiresponse sparse regression	Optimally Selected Minimal Learning Machine
N
network analysis	Mining Attributed Interaction Networks on Industrial Event Logs
Network Embedding	General Structure Preserving Network Embedding
networks	A metaheuristic approach for the α-separator problem
Neuroevolution	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics Model Selection in Committees of Evolved Convolutional Neural Networks using Genetic Algorithms
neurofeedback training	Peak Alpha Based Neurofeedback Training within Survival Shooter Game
Noise reduction	Extending Independent Component Analysis on Online Social Media for Event Detection
Non-cooperative search	Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
non-standard classification	CGLAD: using GLAD in crowdsourced large datasets
Non-Verbal Communication (NVC)	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
Nonnegative Matrix Factorization	General Structure Preserving Network Embedding Exploring coclustering for serendipity improvement in content-based recommendation
novelty detection	Single-class bankruptcy prediction based on the data from annual reports
Novelty Score	Exploring Online Novelty Detection Using First Story Detection Models
NREL Dataset	Deep Learning applied to Wind Energy Forecasting
O
object recognition	Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks
Online Clustering	A cluster-based prototype reduction for online k-NN classification
online extremism discovering	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
Online Novelty Detection	Exploring Online Novelty Detection Using First Story Detection Models
online reviews	Predicting Online Review Scores Across Reviewer Categories
Online Social Networks	RiskTrack: assessing the risk of Jihadi radicalization on Twitter using linguistic factors.
Ontology	ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks
Operational Planning	Instance-based stacked generalization for transfer learning
Opinion Mining	Linguistic Features to Identify Extreme Opinions: An Empirical Study
optical coherence tomography	Deep-Learning-based Classification of Rat OCT images after Intravitreal Injection of ET-1 for Glaucoma Understanding
optimization	Bare Bones Fireworks Algorithm for Medical Image Compression
Oratorical coach	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
Ordinal Classification	Wind power ramp events ordinal prediction using minimum complexity echo state networks Distribution-based discretisation and ordinal classification applied to wave height prediction
outlier and novelty detection	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
outlier detection	ATM Fraud Detection using Outlier Detection
Overlap	Overlap-Based Undersampling for Improving Imbalanced Data Classification
P
pattern discovery	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping
pattern enumeration	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping
pattern mining	Mining Attributed Interaction Networks on Industrial Event Logs
Pattern Recognition	New Fuzzy Singletons Distance Measure by Convolution
performance evaluation measures	Multi-Dimensional Bayesian Network Classifier Trees
periodic time series	An Adaptive Anomaly Detection Algorithm for Periodic Real Time Data Streams
Pharmacovigilance	Specifics Analysis of Medical Communities in Social Network Services
Pool Adjacent Violators	Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
pooling	Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks
Portfolio Management	Learning Optimal Q-function using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency
Power consumption prediction	Predicting the Household Power Consumption using CNN- LSTM Hybrid Networks
predication	Signal Reconstruction using Evolvable Recurrent Neural Networks
prediction	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Prediction Intervals	Studying the effect of measured solar power on evolutionary multi-objective prediction intervals
predictive analysis	Predicting Online Review Scores Across Reviewer Categories
Predictive Maintenance	Monitoring Equipment Operation through Model and Event Discovery
Predictive Thermal Modeling	Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
Principal component centrality	Specifics Analysis of Medical Communities in Social Network Services
process mining	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments Creation of an event log from machinery monitoring system on a selected example Automated, Nomenclature Based Data Point Selection For Industrial Event Log Generation
Processing	Low Level Big Data Processing
Psychosocial risk factors	Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models
Q
Q-network	Learning Optimal Q-function using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency
quantization tables	Bare Bones Fireworks Algorithm for Medical Image Compression
quizzes	Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System
R
Radicalization	On Detecting Online Radicalization Using Natural Language Processing RiskTrack: assessing the risk of Jihadi radicalization on Twitter using linguistic factors. ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks Jihadi radicalized women in Spain: a profile
random forest	Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset MapReduce model for Random Forest algorithm: experimental studies Semi-Supervised Learning to Reduce Data Needs of Indoor Positioning Models
random search	Imbalanced data classification based on feature selection techniques
RBAC	PostProcessing in Constrained Role Mining
receptive fields	Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks
recommender system	An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System
recommender systems	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
recurrent neural network(RNN)	Signal Reconstruction using Evolvable Recurrent Neural Networks
Recurrent Neural Networks	Deep Learning applied to Wind Energy Forecasting Wind power ramp events ordinal prediction using minimum complexity echo state networks
Recurrent Neural Networs	Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
REDS graphs	Crossover Operator using Knowledge Transfer for the Firefighter Problem Knowledge-based Solution Construction for Evolutionary Minimization of Systemic Risk
Reduction of dimensionality	Hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models
Reference points	Optimally Selected Minimal Learning Machine
Regression	An ELM based Regression Model for ECG Artifact Minimization from Single Channel EEG
Reinforcement learning	Applying cost-sensitive classifiers with reinforcement learning to IDS
representation learning	Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks
Resampling	Overlap-Based Undersampling for Improving Imbalanced Data Classification
Retinal Image Synthesis	Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models
reviewers category	Predicting Online Review Scores Across Reviewer Categories
reviews score prediction	Predicting Online Review Scores Across Reviewer Categories
RKHS	Novelty Detection using Elliptical Fuzzy Clustering in a Reproducing Kernel Hilbert Space
Role Mining	PostProcessing in Constrained Role Mining
Rule-based knowledge representation	Knowledge-based Solution Construction for Evolutionary Minimization of Systemic Risk
rules	Causal rules detection in streams of unlabeled, mixed type values with finit domains
S
Science mapping analysis	Constructing bibliometric networks from Spanish doctoral Theses
score re-balancing	Predicting Online Review Scores Across Reviewer Categories
security	Effective centralized trust management model for Internet of Things
Self-centered mode	Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
Self-Monitoring	Monitoring Equipment Operation through Model and Event Discovery
Self-organizing maps	Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks
Semantic segmentation	Deep Learning-based Approach for the Semantic Segmentation of Bright Retinal Damage
Semantic Similarity	Semantic WordRank: Generating Finer Single-Document Summarizations
Semantic Web	ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks
Semantics	ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks
Semi-Supervised Learning	Handwritten Character Recognition using Active Semi-Supervised Learning Semi-Supervised Learning to Reduce Data Needs of Indoor Positioning Models
Sensor network design	An Artificial Bee Colony algorithm for optimizing the design of sensor networks
sensory data	ALoT: A time-series similarity measure based on alignment of textures
Sentence2Vec	A new approach for implicit citation extraction
Sentiment analysis	Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis Linguistic Features to Identify Extreme Opinions: An Empirical Study
Seq2Seq	Deep Learning applied to Wind Energy Forecasting
Serendipity	Exploring coclustering for serendipity improvement in content-based recommendation
Set similarity search	Extended Min-Hash Focusing on Intersection Cardinality
shooter game	Peak Alpha Based Neurofeedback Training within Survival Shooter Game
Short-term traffic flow prediction	Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction
Signal processing	Exploratory study of the effects of cardiac murmurs on electrocardiographic-signal-based biometric systems
Signal reconstruction	Signal Reconstruction using Evolvable Recurrent Neural Networks
Signal separation	Extending Independent Component Analysis on Online Social Media for Event Detection
similarity measure	ALoT: A time-series similarity measure based on alignment of textures
Simulation	Suggesting Cooking Recipes Through Simulation and Bayesian Optimization
Single-Document Summarizations	Semantic WordRank: Generating Finer Single-Document Summarizations
Smart Contract	On Application of Learning to Rank for Assets Management: Warehouses Ranking
Social events	Extending Independent Component Analysis on Online Social Media for Event Detection
Social Network	An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information
Social network analysis	Specifics Analysis of Medical Communities in Social Network Services
Social networks	ONTOLOGY USES FOR RADICALISATION DETECTION on Social Networks
Social Tags	An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information
social trait impressions	Finding the Importance of Facial Features in Social Trait Perception
software architecture	Reusable Big Data System for Industrial Data Mining - A case study on Anomaly Detection in Chemical Plants
Solar Energy Forecasting	Studying the effect of measured solar power on evolutionary multi-objective prediction intervals
Solar radiation estimation	Merging ELMs with Satellite Data and Clear-sky models for Effective Solar Radiation Estimation
Spain	Jihadi radicalized women in Spain: a profile
Spanish theses	Constructing bibliometric networks from Spanish doctoral Theses
Spark	MapReduce model for Random Forest algorithm: experimental studies
Sparse models	Optimally Selected Minimal Learning Machine
Spatial Data	Anomaly Detection in Spatial Layer Models of Autonomous Agents
spectral methods	Generalized low-computational cost Laplacian eigenmaps
Stacking	Instance-based stacked generalization for transfer learning
Statistical Computing	Improving the Decision Support in Diagnostic Systems using Classifier Probability Calibration
Stochastic Average Gradient Descent	Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Stochastic Gradient Descent	Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Stock Markets	New Fuzzy Singletons Distance Measure by Convolution
subjectivity	Predicting Online Review Scores Across Reviewer Categories
Superpixels	Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Supervised Learning	Combined classifier based on quantized subspace class distribution Improving SeNA-CNN by Automating Task Recognition CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection using Generative Adversarial Network
Supervised Machine Learning	Understanding Learner's Drop-out in MOOCs
Support vector machine	Identification of individual glandular regions using LCWT and machine learning techniques
support vector regression	Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
SVD	Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System
SVM	Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Swarm Intelligence	Community Detection in Weighted Directed Networks using Nature-inspired Heuristics Bare Bones Fireworks Algorithm for Medical Image Compression Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode Design of Japanesse Tree Frog algorithm for Community Finding Problems
Swarm robotics	Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode
synthetic multidimensional data	A Study of Fuzzy Clustering to Archetypal Analysis
Systematic literature review	Evidence-based Systematic Literature Reviews in the Cloud
T
Tacit knowledge	A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
TDOA	Effective centralized trust management model for Internet of Things
temporal relationships	Causal rules detection in streams of unlabeled, mixed type values with finit domains
TensorFlow	Framework for the Training of Deep Neural Networks in TensorFlow using Metaheuristics
Terrorism	RiskTrack: assessing the risk of Jihadi radicalization on Twitter using linguistic factors.
Text classication	Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis
time series	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping Deep Learning applied to Wind Energy Forecasting
Time series discretisation	Distribution-based discretisation and ordinal classification applied to wave height prediction
Time series forecasting	An approximation to Deep Learning touristic-related time series forecasting
Time Series Prediction	Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
time warping	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping
time-series classification	ALoT: A time-series similarity measure based on alignment of textures
Topic Clustering	Semantic WordRank: Generating Finer Single-Document Summarizations
Topic modeling	A new approach for implicit citation extraction
Topic2Vec	A new approach for implicit citation extraction
Transfer Learning	Instance-based stacked generalization for transfer learning Unsupervised Domain Adaptation for Human Activity Recognition Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection using Generative Adversarial Network Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model
Traveling Salesman Problem	Optimizing Meta-Heuristics for the Time-Dependent Traveling Salesman Problem Applied to Air Travels
tree ensemble	Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset
trust	Effective centralized trust management model for Internet of Things
Twitter	On Detecting Online Radicalization Using Natural Language Processing RiskTrack: assessing the risk of Jihadi radicalization on Twitter using linguistic factors. Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
U
U-Net	Deep Learning-based Approach for the Semantic Segmentation of Bright Retinal Damage
underground mining	Creation of an event log from machinery monitoring system on a selected example
Undersampling	Overlap-Based Undersampling for Improving Imbalanced Data Classification
Uniform sampling	A fast Metropolis-Hastings method for generating random correlation matrices
unsupervised	Assessment and Adaption of Pattern Discovery Approaches for Time Series under the Requirement of Time Warping
Unsupervised Domain Adaptation	Unsupervised Domain Adaptation for Human Activity Recognition
Unsupervised Learning	Semantic WordRank: Generating Finer Single-Document Summarizations Exploring Online Novelty Detection Using First Story Detection Models Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks
V
VAE	Retinal Image Synthesis for Glaucoma Assessment using DCGAN and VAE Models
vapour-liquid equilibrium	Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
Variational Autoencoder	Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model
Video Anomaly Detection	CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection using Generative Adversarial Network
Viola-Jones algorithm	Communication Skills Personal Trainer based on Viola-Jones object detection algorithm
W
Warehouse Ranking	On Application of Learning to Rank for Assets Management: Warehouses Ranking
Water Cycle Algorithm	Community Detection in Weighted Directed Networks using Nature-inspired Heuristics
water quality	Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset
Waterpixels	Comparison of Local Analysis Strategies for Exudate Detection in Fundus Images
Wave height prediction	Distribution-based discretisation and ordinal classification applied to wave height prediction
weakly supervised	CGLAD: using GLAD in crowdsourced large datasets
Wearable Devices	Intelligent wristbands for the automatic detection of emotional states for the elderly
White Supremacy	Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset
Wind energy	Wind power ramp events ordinal prediction using minimum complexity echo state networks
wind energy prediction	Deep Learning applied to Wind Energy Forecasting Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction
Wind Forecast	Deep Learning applied to Wind Energy Forecasting
Wind Power Ramp Events	Wind power ramp events ordinal prediction using minimum complexity echo state networks
Wind Speed Forecasting	Deep Learning applied to Wind Energy Forecasting
Women	Jihadi radicalized women in Spain: a profile
Word Embedding	Semantic WordRank: Generating Finer Single-Document Summarizations
Word vectors	Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis
Word2vec	Concatenating or Averaging? Hybrid Sentence Representations for Sentiment Analysis Exploring Online Novelty Detection Using First Story Detection Models
WSNs	Effective centralized trust management model for Internet of Things

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