[Corpora-List] MLPM 2014 : 2014 Workshop on Machine Learning for Predictive Models

[Mohammad Azzeh]

==============MLPM 2014=======================
When: Dec 3, 2014 - Dec 6, 2014
Where: Detroit, USA
Submission Deadline: Aug 6, 2014
Notification Due: Sep 7, 2014
Camera Ready Due: Oct 1, 2014

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.

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:

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.

**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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