AML-2019: International Conference on Applied Machine Learning Interscience Institute of Managements Technology Bhubaneswar, India, May 25-26, 2019 |
Conference website | http://interscience.ac.in/ICAML/ |
Submission link | https://easychair.org/conferences/?conf=aml2019 |
Abstract registration deadline | January 31, 2019 |
Submission deadline | February 20, 2019 |
International Conference on Applied Machine Learning (AML-2019) is going to take place in IIMT Bhubaneswar, India, on 25th – 26th May, 2019. Machine learning is usually considered as a multidisciplinary intersectional area of several fields such as computer science, artificial intelligence, statistics and operation research etc. Machine learning techniques prove to be useful to improve efficiency, speed and accuracy of outcomes in the presence of large scale data. Machine learning provides the ability to learn and make decisions without any explicit instructions or human intervention along with instantaneous adaption. The rapid growth of various tools and techniques of this field is responsible for understanding the non-linearity existing in the data, extracting several features, finding hidden patterns in data, classifying data into labels and so on. This has led to the tremendous advancement and spread in applications ranging from personalized product recommendations to speech recognition in cell phones; from predictive analytics to security applications that leverage machine learning for implementing filters and safe guards against new threats; from data mining programs that discover general rules in large data sets, to information filtering systems that automatically learn users' interests. It also innovatively powers various application sectors such as manufacturing, retail, healthcare, finance, travel, hospitality, science and engineering etc.
The goal of ICAML is to provide a broad platform to the key areas in machine learning along with emphasizing various application sectors. It aims to bring together researchers, practitioners and scholars from both academia and industry to share their knowledge, exchange ideas and establish new collaborations. Topics such as Bayesian networks, decision tree learning, statistical learning methods, unsupervised learning and reinforcement learning are appreciably invited to participate in the conference. The conference is mostly focused on applied research of machine learning as well as its usage.
Submission Guidelines
Authors are encouraged to contribute to the conference by submitting original research papers illustrating their research works, industrial projects, state-of-the-art reviews on applied machine learning and its significant advances. The papers must be not be simultaneously submitted to another journal or conference.
List of Topics
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Core Machine Learning techniques
• Decision Tree • Linear discriminant and support vector machines • Neural networks • Bayesian methods • Instance based learning • Inductive logic programming • Model selection and error estimation • Unsupervised learning • Online, active and reinforcement learning • Computational and statistical learning theory.
- Manufacturing
• Process optimization • Demand forecasting • Modeling of predictive purchase behavior • Predictive monitoring of maintenance requirement • Monitoring warranty expenses and liability • Predictive analytics for telematics
• Recommender engines • Market segmentation • Inventory planning using predictive analytics • Cross-channel marketing • Predicting Customer ROI • Forecasting lifetime value .
• Regulatory risk analytics • Management of sales and marketing campaigns • Evaluation of credit worthiness
• Dynamic pricing • Aircraft scheduling • Social media analytics • Analysis of consumer feedback • Resolution of consumer complaints • Identification of traffic patterns • Congestion management
• Alerts and diagnostics from real-time patient data • Disease identification and risk stratification • Patient triangle optimization • Proactive health management • Healthcare provider sentiment analysis
• Power Usage analytics • Carbon emission and trading • Energy demand forecasting • Customer-specific pricing • Smart grid management • Energy optimization
Venue
The conference will be held in Interscience Institute of Managements Technology, At/P. O. Kantabada, Dist. – Khorda.
Contact
All questions about submissions should be emailed to coordinator.conference@iimt.ac.in