---------- Forwarded Message ---------- Subject: CFP Data Warehousing and Mining Track of IRMA 2002 Date: Fri, 20 Jul 2001 12:36:05 -0400 From: Aryya Gangopadhyay gangopad@UMBC.EDU To: ISWORLD@LISTSERV.HEANET.IE

Call for Papers

Submission Deadline October 1, 2001

Data Warehousing and Mining Track of

2002 Information Resources Management Association International Conference May 19-22, 2002 at Renaissance Madison Hotel Seattle, Washington, USA For complete conference information, visit the IRMA Web Site at http://www.irma-international.org

TRACK CHAIR

Aryya Gangopadhyay University of Maryland Baltimore County (UMBC), USA E-mail: gangopad@umbc.edu

TRACK COVERAGE

Deregulation and liberalization of markets, as well as globalization and internalization leads to increasing intrasectorial and intersectorial competition. Time will be a more and more critical success factor. The further development of information and communication technologies are new challenges to companies. It is necessary to integrate information as an independent production factor in corporate strategies in order to have the possibility to act and not only have the necessity to react on markets' requirements. The actual situation of information supply in companies may be described as follows: The decision-maker has a data overflow and at the same time he has an information deficit. Companies possess a lot of data, but they are not able to use the data in an economic and efficient manner. The objective of this track is to provide a forum for researchers and practitioners to disseminate and exchange ideas on both the technical and managerial issues associated with data warehousing and mining.

RECOMMENDED TOPICS The Data Warehousing and Mining track invites submissions in the following areas (but not limited to): o Information Modeling of Data Warehouses o Meta--Data Modeling/Management o Data ((Model) Integration/Schema Integration o Data Cleaning o Data Quality o Management of large Databases o OLAP//ROLAP/MOLAP o Knowledge Discovery o Information Filtering o Web Mining o Dynamic Profiling//Learning Algorithms o Economic Aspects

=========================================== Aryya Gangopadhyay Assistant Professor Department of Information Systems 1000 Hilltop Circle University of Maryland Baltimore County Baltimore MD 21250

phone: (410) 455-2620 fax: (410) 455-1073

http://research.umbc.edu/~gangopad ===========================================

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