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

Weiguo Fan, Hongjun Lu, Stuart Madnick and David Cheung

No 4411-01, Working papers from Massachusetts Institute of Technology (MIT), Sloan School of Management

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

Keywords: Data Integration; Data Mining; Semantic Conflicts; Data Visualization; Statistical Analysis; Data Value Conversion (search for similar items in EconPapers)
Date: 2003-02-10
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