Abstract

http://ssrn.com/abstract=377900
 
 

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DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources


Weiguo Fan


Virginia Polytechnic Institute & State University - Department of Accounting and Information Systems

Hongjun Lu


National University of Singapore (NUS) - School of Computing

Stuart Madnick


Massachusetts Institute of Technology (MIT) - Sloan School of Management

David W. Cheung


University of Hong Kong - Department of Computer Science and Information Systems

November 2001

MIT Sloan Working Paper No. 4411-01

Abstract:     
The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present. Such conflicts are often reffected by discrepancies in attribute values of the same data object. In this paper, we describe a recently developed prototype system, DIRECT (DIscovering and REconciling ConflicTs). The system mines data value conversion rules in the process of integrating business data from multiple sources. The system architecture and functional modules are described. The process of discovering conversion rules from sales data of a trading company is presented as an illustrative example.

Number of Pages in PDF File: 51

Keywords: Data Integration, Data Mining, Semantic Conflicts, Data Visualization, Statistical Analysis, Data Value Conversion

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Date posted: February 6, 2003  

Suggested Citation

Fan, Weiguo and Lu, Hongjun and Madnick, Stuart and Cheung, David W., DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources (November 2001). MIT Sloan Working Paper No. 4411-01. Available at SSRN: http://ssrn.com/abstract=377900 or http://dx.doi.org/10.2139/ssrn.377900

Contact Information

Weiguo Fan
Virginia Polytechnic Institute & State University - Department of Accounting and Information Systems ( email )
Pamplin College of Business
3007 Pamplin Hall
Blacksburg, VA 24061
United States
540-231-6588 (Phone)
HOME PAGE: http://www.cob.vt.edu/acis/faculty/wfan/
Hongjun Lu
National University of Singapore (NUS) - School of Computing ( email )
3 Science Drive 2
Singapore 117543
Singapore
Stuart E. Madnick (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)
David Wai-lok Cheung
University of Hong Kong - Department of Computer Science and Information Systems ( email )
Room 301, Chow Yei Ching Building
Pokfulam Road
Hong Kong
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