DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources
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4411-01.pdf
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323.69 KB
Format
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Checksum (MD5)
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Author(s)
Fan, Weiguo
Lu, Hongjun
Madnick, Stuart
Cheung, David
Date Issued
February 10, 2003
Series/Report no.
MIT Sloan School of Management Working Paper;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
Subjects
Data Integration
Data Mining, Semantic Conflicts
Data Visualization
Statistical Analysis
Data Value Conversion
Persistent DSpace Link
