Dear Colleagues, Due to several requests, the deadline of the special session "Machine Learning for Predictive Models" has been extended to Aug. 26, 2013. ------------------------------------------------------------------------------------- Machine Learning for Predictive Models (MLPM 2013) December 4- December 7, 2013 Miami, Florida, USA http://icmla-conference.org/icmla13/S06d.pdf Special Session at the 12th IEEE International Conference on Machine Learning and Applications (ICMLA 2013) Important Dates (Check http://icmla-conference.org/icmla13/keydates.htm) Paper submission: August 26, 2013 Author Notification: September 10, 2013 Camera-ready: October 10, 2013 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 applied to Health Care Applications Decision Support Education Support Vector Machine Cyber Security Time Series Credit Card Fraud Detection Decision Trees Software Process and Performance Fuzzy Logic & Systems Software Cost Estimation Probabilistic Reasoning Software Reliability Lazy Learning Software Risk Management Recommender Systems Software Quality and Testing Expert Systems Cloud Computing Artificial Neural Networks Social Media Evolutionary Algorithms Business Applications Ranking Algorithms Sale Forecasting Cognitive Processes Stock Market Forecasting Evolutionary Computing Weather Predictions Swarm Intelligence Bio-Medical Applications Artificial Immune Systems Big data Applications Instance–Based Learning Intelligent Traffic Management Chaos Theory Image Processing Multi-Valued Logic E-Government Ensemble Techniques E-Business Hybrid Intelligent Models E-Commerce Reasoning Models 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. Committee: Special Session Chairs: Ali Bou Nassif Department of Electrical and Computer Engineering University of Western Ontario, Canada abounas@uwo.ca Mohammad Azzeh Department of Software Engineering Applied Science University, Jordan m.y.azzeh@asu.edu.jo Daniel Neagu Department of Computing University of Bradford, UK d.neagu@bradford.ac.uk Technical Program Committee: Adel Oraini, Qassim University, Saudi Arabia Ahmed Esmin, Federal University of Lavras, Brazil Akila Subasinghe, University of Western Ontario, Canada Alaa Sheta, Electronics Research Institute, Egypt Ali Bou Nassif, University of Western Ontario, Canada Ali Aljohani, University of Western Ontario, Canada Anna Leontjeva, University of Tartu, Estonia Asil Oztekin, UMass Lowell, USA Auroop A. Ganguly, Northeastern University, USA Burak Turhan, University of Oulu, Finland Cagatay Catal, Istanbul Kultur University, Turkey Chun-Ling Chuang, Kainan University, Taiwan Cuauhtemoc Lopez-Martin, Universidad De Guadalajara, Mexico Daniel Neagu, University of Bradford, UK Danny Ho, NFA Estimation Inc., Canada Efi Papatheocharous, University of Cyprus, Cyprus Hany Mahgoub, Menoufia University, Egypt Hui Li, Zhejiang Normal University, China Hui Kian Ho, University of Melbourne, Australia Iman Attarzadeh, Islamic Azad University, Iran Jasmin Ramadani, University of Stuttgart, Germany Ke Zhang, Wayne State University, USA Keith Maull, National Center for Atmospheric Research, USA Konstantin Tretyakov, University of Tartu, Estonia Kuriakose Athappilly, Western Michigan University, USA Leandro Minku, The University of Birmingham, UK Lefteris Angelis, Aristotle University of Thessaloniki, Greece Mahmoud Elmezain, Tanta University, Egypt Man Wong, The Liberal Arts University in Hong Kong, Hong Kong Mayssa Youssef, Orange Labs, France Mohamad Sayed Hassan, Orange Labs, France Mohammad Hamdaqa, University of Waterloo, Canada Mohammad Azzeh, Applied Science University, Jordan Muhammad Rushdi, Cairo University, Egypt Murat Demirer, Istanbul Kultur University, Turkey Nashat Mansour, Lebanese American University, Lebanon Nikolaos Mittas, Aristotle University of Thessaloniki, Greece Rachad Nassar, ALSTOM, France Rushed Kanawati, University of Paris Nord, France Selim Zaim, Marmara University, Turkey Shadi Banitaan, University of Detroit Mercy, USA Sotiris Kotsiantis, University of Patras, Greece Stefan Wagner, University of Stuttgart, Germany Wilhelmiina Hamalainen, University of Joensuu, Finland Zaher Alaghbari, University of Sharjah, UAE Zahra Karimi, University of Stuttgart, Germany Zhi-Hua Zhou, Nanjing University, China