[Corpora-List] CFP: MLPM 2013 : Machine Learning for Predictive Models (MLPM 2013), a special session at the 12th IEEE International Conference On Machine Learning and Applications

[Mohammad Azzeh]

*Call For paper*

*MLPM 2013 : Machine Learning for Predictive Models (MLPM 2013), a special
session at the 12th IEEE International Conference On Machine Learning and
Applications*

*http://icmla-conference.org/icmla13/S06b.pdf*<http://icmla-conference.org/icmla13/S06b.pdf>

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.

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/>
        https://orcid.org/0000-0002-0323-6452
                 >>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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