MLDM 2018: 14th International Conference on Machine Learning and Data Mining New York, NY, United States, July 14-19, 2018 |
Conference website | http://www.mldm.de/ |
Submission link | https://easychair.org/conferences/?conf=mldm2018 |
Abstract registration deadline | February 15, 2018 |
Submission deadline | February 15, 2018 |
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
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Deadline Paper
- Paper Submission Deadline: 15.01.2018
- Notification of acceptance: 18.03.2018
- Submission of camera-ready copy: 05.04.2018
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Authors can submit their paper in long or short version:
Long Paper
The paper must be formatted in the Springer LNCS format. They should have at most 15 pages. Papers will be reviewed by the program committee. Accepted long papers will appear in the proceedings book "Machine Learning and Data Mining in Pattern Recognition" published by Springer Verlag in the LNAI series. Extended versions of selected papers will be published in a special issue of an international journal after the workshop.Short Paper
Short papers are also welcome and can be used to describe work in progress or project ideas. They should have not more than 5 pages, formatted in Springer LNCS format. Accepted short papers will be presented as poster in the poster session. They will be published in a special poster proceedings book.Deadline Paper
- Paper Submission Deadline: 20.03.2018
- Notification of acceptance: 18.04.2018
- Submission of camera-ready copy: 05.05.2018
Authors can submit their paper in long or short version.
Long Paper
The paper must be formatted in the Springer LNCS format. They should have at most 15 pages. The papers will be reviewed by the program committee. Accepted long papers will be published by Springer Verlag in the LNAI Series in the book Advances in Data Mining, edited by Petra Perner.
Short Paper
Short papers are also welcome and can be used to describe work in progress or project ideas. They can have 5 to max. 15 pages, formatted in Springer LNCS format. Accepted short papers will be presented as poster in the poster session. They will be published in a special poster proceedings book.
List of Topics
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Topics of the conference
All kinds of applications are welcome but special preference will be given to multimedia related applications, applications from live sciences and webmining.
Paper submissions should be related but not limited to any of the following topics:
- association rules
- case-based reasoning and learning
- classification and interpretation of images, text, video
- conceptional learning and clustering
- Goodness measures and evaluaion (e.g. false discovery rates)
- inductive learning including decision tree and rule induction learning
- knowledge extraction from text, video, signals and images
- mining gene data bases and biological data bases
- mining images, temporal-spatial data, images from remote sensing
- mining structural representations such as log files, text documents and HTML documents
- mining text documents
- organisational learning and evolutional learning
- probabilistic information retrieval
- Sampling methods
- Selection with small samples
- similarity measures and learning of similarity
- statistical learning and neural net based learning
- video mining
- visualization and data mining
- Applications of Clustering
- Aspects of Data Mining
- Applications in Medicine
- Autoamtic Semantic Annotation of Media Content
- Bayesian Models and Methods
- Case-Based Reasoning and Associative Memory
- Classification and Model Estimation
- Content-Based Image Retrieval
- Decision Trees
- Deviation and Novelty Detection
- Feature Grouping, Discretization, Selection and Transformation
- Feature Learning
- Frequent Pattern Mining
- High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry
- Learning and adaptive control
- Learning/adaption of recognition and perception
- Learning for Handwriting Recognition
- Learning in Image Pre-Processing and Segmentation
- Learning in process automation
- Learning of internal representations and models
- Learning of appropriate behaviour
- Learning of action patterns
- Learning of Ontologies
- Learning of Semantic Inferencing Rules
- Learning of Visual Ontologies
- Learning robots
- Mining Images in Computer Vision
- Mining Images and Texture
- Mining Motion from Sequence
- Neural Methods
- Network Analysis and Intrusion Detection
- Nonlinear Function Learning and Neural Net Based Learning
- Real-Time Event Learning and Detection
- Retrieval Methods
- Rule Induction and Grammars
- Speech Analysis
- Statistical and Conceptual Clustering Methods
- Statistical and Evolutionary Learning
- Subspace Methods
- Support Vector Machines
- Symbolic Learning and Neural Networks in Document Processing
- Time Series and Sequential Pattern Mining
- Audio Mining
- Cognition and Computer Vision
- Clustering
- Classification & Prediction
- Statistical Learning
- Association Rules
- Telecommunication
- Design of Experiment
- Strategy of Experimentation
- Capability Indices
- Deviation and Novelty Detection
- Control Charts
- Design of Experiments
- Capability Indices
- Conceptional Learning
- Goodness Measures and Evaluation (e.g. false discovery rates)
- Inductive Learning Including Decision Tree and Rule Induction Learning
- Organisational Learning and Evolutional Learning
- Sampling Methods
- Similarity Measures and Learning of Similarity
- Statistical Learning and Neural Net Based Learning
- Visualization and Data Mining
- Deviation and Novelty Detection
- Feature Grouping, Discretization, Selection and Transformation
- Feature Learning
- Frequent Pattern Mining
- Learning and Adaptive Control
- Learning/Adaption of Recognition and Perception
- Learning for Handwriting Recognition
- Learning in Image Pre-Processing and Segmentation
- Mining Financial or Stockmarket Data
- Mining Motion from Sequence
- Subspace Methods
- Support Vector Machines
- Time Series and Sequential Pattern Mining
- Desirabilities
- Graph Mining
- Agent Data Mining
- Applications in Software Testing
Committees
Chair
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Petra Perner IBaI Leipzig, Germany
Organizing committee
Sergey Ablameyko | Belarus State University, Belarus |
Reneta Barneva | Fredonia State University of New York, USA |
Michelangelo Ceci | Universtiy of Bari, Italy |
Patrick Bouthemy | INRIA VISTA, France |
Xiaoqing Ding | Tsinghua University, China |
Christoph F. Eick | Universtiy of Houston, USA |
Ana Fred | Technical University of Lisboa, Portugal |
Giorgio Giacinto | University of Cagliari, Italy |
Makato Haraguchi | Hokkaido University of Sapporo, Japan |
Dimitrios A. Karras | Sterea Hellas Institute of Technology, Greece |
Adam Krzyzak | Concordia University, Canada |
Thang V. Pham | University of Amsterdam, The Netherlands |
Linda Shapiro | University of Washington, USA |
Tamas Sziranyi | MTA-SZTAKI, Hungary |
Francis E.H. Tay | National University of Singapore, Singapore |
Alexander Ulanov | HP Labs, California, USA |
Zeev Volkovich | ORT Braude College of Engineering, Israel |
Patrick Wang | Northeastern University, USA |
Venue
New York, USA
Contact
If you have any problems with the system please do not hesitate to contact info@mldm.de