*MLPM 2013 : Machine Learning for Predictive Models (MLPM 2013), a special session at the 12th IEEE International Conference On Machine Learning and Applications*
The MLPM 2013 special session provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning for developing predictive models for various IT related problems, targeting the provision of alternative, interdisciplinary approaches for tackling problems found in various IT disciplines. Machine Learning models are efficient for handing complex prediction models due to their outstanding performance in handling large scale datasets with uniform characteristics and noisy data. Examples of MLPM domains include health care, cyber security, education, credit card fraud detection, social media, sales forecasting, stock market forecasting, cloud computing, software measurement, quality and defect prediction, cost and effort estimation, software reuse, weather prediction, etc.
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.
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.
Important Dates Paper submission: August 5, 2013 Author Notification: September 10, 2013 Camera-ready: October 10, 2013
*------>* Mohammad Azzeh, PhD Assistant Professor Faculty of IT Applied Science University <http://www.asu.edu.jo> PO BOX 166 Amman 11931 Jordan Tel: +962 (6)5609999 Ext: 1109 web: http://www.inf.brad.ac.uk/myaazzeh/<http://www.inf.brad.ac.uk/~myaazzeh/>
>>My Google Scholar Page<http://scholar.google.com/citations?view_op=list_works&hl=en&user=vITOCPcAAAAJ&gmla=AJsN-F5gpyrB-f9AZ-oQno0WSt2moFweImsi6q0Sb0bhyrabonjWNHiG24VMjSMS1ZhDQHNe0seAFAv67nweFPhV-JbnMYAW_65z95tzx5SB_FBwOj1x9qs>
<http://younoodle.com/people/mohammad_azzeh>e-mail: m.y.azzeh at asu.edu.jo
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