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</span></div><div class="gmail_default" style="font-family:'trebuchet ms',sans-serif;font-size:small;color:rgb(51,0,0)"><span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">==============MLPM 2014=======================</span></div>
<div class="gmail_default" style="font-family:'trebuchet ms',sans-serif;font-size:small;color:rgb(51,0,0)">When: Dec 3, 2014 - Dec 6, 2014<br></div><div class="gmail_default" style="font-family:'trebuchet ms',sans-serif;font-size:small;color:rgb(51,0,0)">
Where: Detroit, USA</div><div class="gmail_default" style="font-family:'trebuchet ms',sans-serif;font-size:small;color:rgb(51,0,0)">Submission Deadline: <span><span content="Submission Deadline"></span><span rel="v:url"></span><span content="2014-08-06T00:00:00">Aug 6, 2014</span></span></div>
<div class="gmail_default" style="font-family:'trebuchet ms',sans-serif;font-size:small;color:rgb(51,0,0)">Notification Due: <span><span content="2014-09-07T00:00:00">Sep 7, 2014</span></span></div><div class="gmail_default" style="font-family:'trebuchet ms',sans-serif;font-size:small;color:rgb(51,0,0)">
Camera Ready Due: <span><span content="Final Version Due"></span><span rel="v:url"></span><span content="2014-10-01T00:00:00">Oct 1, 2014</span></span></div><div class="gmail_default" style="font-family:'trebuchet ms',sans-serif;font-size:small;color:rgb(51,0,0)">
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<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">The MLPM 2014 workshop 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. </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px"><span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">The aim of this workshop 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 workshop include, but are not limited to: </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px"><span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Clustering and Classification </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Decision Support </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Support Vector Machine </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Time Series </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Decision Trees </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Fuzzy Logic & Systems </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Probabilistic Reasoning </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Lazy Learning </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Recommender Systems </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Expert Systems </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Artificial Neural Networks </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Evolutionary Algorithms </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Ranking Algorithms </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Cognitive Processes </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Evolutionary Computing </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Swarm Intelligence </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Artificial Immune Systems </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Instance–Based Learning </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Chaos Theory </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Multi-Valued Logic </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Ensemble Techniques </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Hybrid Intelligent Models </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Reasoning Models </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px"><span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Applied to: </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px"><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px"><span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Health Care Applications, Education, Cyber Security, Credit Card Fraud Detection, </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Software Process and Performance, Software Cost Estimation, Software Reliability, </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Software Risk Management, Software Quality and Testing, Cloud Computing, Social Media, </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Business Applications,Sale Forecasting , Stock Market Forecasting, Weather Predictions </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Bio-Medical Applications, Big data Applications, Intelligent Traffic Management, </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Image Processing, E-Government , E-Business, E-Commerce, Networking </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px"><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px"><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">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. </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px"><span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">**Submission & Publication: </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">Accepted papers will be published in IEEEXplore (IEEE Digital Library). </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
<span style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px;background-color:rgb(246,246,246)">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. </span><br style="color:rgb(17,17,17);font-family:verdana,arial,helvetica,sans-serif;font-size:13px">
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