[Corpora-List] CFP: MLPM 2013 (IEEEXplore indexed)

[Mohammad Azzeh]

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

Applied to:


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.

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