Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/1825
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dc.creatorFan, Weiguo-
dc.creatorLu, Hongjun-
dc.creatorMadnick, Stuart-
dc.creatorCheung, David-
dc.date2003-02-10T21:43:28Z-
dc.date2003-02-10T21:43:28Z-
dc.date2003-02-10T21:43:28Z-
dc.date.accessioned2013-05-31T20:18:54Z-
dc.date.available2013-05-31T20:18:54Z-
dc.date.issued2013-06-01-
dc.identifierhttp://hdl.handle.net/1721.1/1825-
dc.identifier.urihttp://koha.mediu.edu.my:8181/jspui/handle/1721-
dc.descriptionThe 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-
dc.format331454 bytes-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationMIT Sloan School of Management Working Paper;4411-01-
dc.subjectData Integration-
dc.subjectData Mining, Semantic Conflicts-
dc.subjectData Visualization-
dc.subjectStatistical Analysis-
dc.subjectData Value Conversion-
dc.titleDIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources-
dc.typeWorking Paper-
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