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Special Session on Machine Learning in Business Operations, Economics and Management Practice
| Location: | California, United States |
| Call for Papers Date: | 2008-12-11 (Archive) |
| Date Submitted: |
2008-05-29 |
| Announcement ID: |
162591 |
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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, Game Theory
-Economic trends, forecasting
-Knowledge management tools
-Data mining for business applications
-Taxonomies and ontologies in business applications
-Community of Practice
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
If you have any questions do not hesitate to direct your questions to the special session organizer Khalid Hafeez Kh541@york.ac.uk;
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Khalid Hafeez PhD Cert SSMBB, Cert ProjMgr, Cert ProcessMgr, EFQM European Assessor, NCG Fellow
Professor of Management Systems
Head Management Systems Group
The York Management School (TYMS), the University of York,
Heslington YO10 5DD, UK
Tel: +44 (0)1904 43 2700
Fax: +44 (0)1904 434163
Email: kh541@york.ac.uk
Visit the website at http://www.icmla-conference.org/icmla08/
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