Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Berndt, Donald J. | - |
dc.date.accessioned | 2006-01-31T15:21:59Z | - |
dc.date.available | 2006-01-31T15:21:59Z | - |
dc.date.issued | 1995-07-18 | - |
dc.identifier.uri | http://hdl.handle.net/2451/14219 | - |
dc.description.abstract | In many organizations, both business and scientific, we collect ever increasing amounts of data using information technology. Indeed, the technology for collecting data has outpaced our ability to analyze and interpret these very large databases. In this paper, we discuss the interaction of heuristic search and domain knowledge in the AX knowledge discovery tool. The search process rests on the use of rule quality measures and the organization of domain knowledge. A small loan application database from the machine learning repository is used to illustrate the process. | en |
dc.format.extent | 2222008 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language | English | EN |
dc.language.iso | en_US | - |
dc.publisher | Stern School of Business, New York University | en |
dc.relation.ispartofseries | IS-95-11 | - |
dc.subject | knowledge discovery | en |
dc.subject | machine discovery | en |
dc.subject | domain knowledge | en |
dc.subject | heuristic search | en |
dc.title | AX: SEARCHING FOR DATABASE REGULARITIES USING CONCEPT NETWORKS | en |
dc.type | Working Paper | en |
dc.description.series | Information Systems Working Papers Series | EN |
Appears in Collections: | IOMS: Information Systems Working Papers |
Files in This Item:
File | Description | Size | Format | |
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IS-95-11.pdf | 2.17 MB | Adobe PDF | View/Open |
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