The aim of this special session is to obtain a good perspective into the current state of practice of Machine Learning to address various predictive problems. Some topics relevant to this session include, but are not limited to:
Clustering and Classification Decision Support Support Vector Machine Time Series Decision Trees Fuzzy Logic & Systems Probabilistic Reasoning Lazy Learning Recommender Systems Expert Systems Artificial Neural Networks Evolutionary Algorithms Ranking Algorithms Cognitive Processes Evolutionary Computing Swarm Intelligence Artificial Immune Systems Instance–Based Learning Chaos Theory Multi-Valued Logic Ensemble Techniques Hybrid Intelligent Models Reasoning Models
Health Care Applications, Education, Cyber Security, Credit Card Fraud Detection, Software Process and Performance, Software Cost Estimation, Software Reliability, Software Risk Management, Software Quality and Testing, Cloud Computing, Social Media, Business Applications,Sale Forecasting , Stock Market Forecasting, Weather Predictions Bio-Medical Applications, Big data Applications, Intelligent Traffic Management, Image Processing, E-Government , E-Business, E-Commerce, Networking
Researchers are encouraged to submit their contributions that have direct impact or high dependence on practical issues encountered in real-world environments. Industrial- and market-oriented research papers are also highly encouraged. To this end, MLPM's Program Committee consists of members not only from academic/research institutions but also from the industry, and these members will assist in the review process in cases of industrial and market-related papers.
important dates: Submission: 26/8/2013 Notification : 10/9/2013 Camera-ready: 10/10/2013
Submission & Publication: Accepted papers will be published in IEEEXplore (IEEE Digital Library). Registration is required for all participants. To be published in the proceedings, every accepted paper MUST have at least one registered author at the full rate and must be presented at the conference. Please visit the main website of the conference for more information.