Description
One of earliest applications of AI was in the field of management practice. Business operations, economics and management practice is the widest area of activity, however there are not many applications of Machine Learning in this field. The aim of the session is to invite researchers from related disciplines to explore their ideas on the application of machine learning and related technologies in the broad portfolio of business, operations, economics and management practice. The objectives are to explore recent developments in the field and provide a critique on the strength and limitations of machine leaning and related methodologies and technologies.

Topics, but are not limited to
E-commerce, M-Commerce
Transactions and security issues
Supply chain management
Decision making
Production, scheduling, optimizing
Business processes and workflow management
Quality management
Strategic portfolio management
Stock Market
Economic trends, forecasting
Knowledge management tools
Data mining for business applications
Taxonomies and ontologies in business applications
Community of Practice


Submission
Papers submitted for this special session should be submitted by June 15, 2008, at the regular paper submission website (http://www.cs.csubak.edu/~icmla/icmla08/). Papers should not exceed a maximum of 6 pages (including abstract, body, tables, figures, and references), and should be submitted as a pdf in 2-column IEEE format. Detailed instructions for the authors can be found at the conference website. Accepted papers will be published in the conference proceedings, as a hardcopy. All accepted papers must be presented by one of the authors to be published in the conference proceedings.

If you have any questions do not hesitate to direct your questions to the special session organizer Khalid Hafeez Kh541@york.ac.uk;

Important Dates
Paper submission due: June 15, 2008
Notification of acceptance: September 1, 2008
Camera-ready papers & Pre-registration: October 1, 2008
The ICMLA Conference: December 11-13, 2008

Special Session Chair:
Professor Khalid Hafeez, University of York, UK