DSpace Repository

The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality

Show simple item record

dc.creator Madnick, Stuart
dc.creator Wang, Richard
dc.creator Xian, Xiang
dc.date 2004-02-06T20:21:59Z
dc.date 2004-02-06T20:21:59Z
dc.date 2004-02-06T20:21:59Z
dc.date.accessioned 2013-10-09T02:33:59Z
dc.date.available 2013-10-09T02:33:59Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/4047
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Advances in Corporate Householding are needed to address certain categories of data quality problems caused by data misinterpretation. In this paper, we first summarize some of these data quality problems and our more recent results from studying corporate householding applications and knowledge exploration. Then we outline a technical approach to a Corporate Householding Knowledge Processor (CHKP) to solve a particularly important type of corporate householding problem - entity aggregation. We illustrate the operation of the CHKP by using a motivational example in account consolidation. Our CHKP design and implementation uses and expands on the COntext INterchange (COIN) technology to manage and process corporate householding knowled
dc.format 504621 bytes
dc.format application/pdf
dc.language en_US
dc.relation MIT Sloan School of Management Working Paper;4439-03
dc.subject Corporate Household
dc.subject Corporate Householding
dc.subject Data Quality
dc.subject Context Mediation
dc.subject COntext INterchange
dc.subject Enterprise Knowledge Management
dc.subject Database Interoperability
dc.title The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality
dc.type Working Paper


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account