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dc.contributor.authorBerndt, Donald J.-
dc.date.accessioned2006-01-31T15:21:59Z-
dc.date.available2006-01-31T15:21:59Z-
dc.date.issued1995-07-18-
dc.identifier.urihttp://hdl.handle.net/2451/14219-
dc.description.abstractIn 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.extent2222008 bytes-
dc.format.mimetypeapplication/pdf-
dc.languageEnglishEN
dc.language.isoen_US-
dc.publisherStern School of Business, New York Universityen
dc.relation.ispartofseriesIS-95-11-
dc.subjectknowledge discoveryen
dc.subjectmachine discoveryen
dc.subjectdomain knowledgeen
dc.subjectheuristic searchen
dc.titleAX: SEARCHING FOR DATABASE REGULARITIES USING CONCEPT NETWORKSen
dc.typeWorking Paperen
dc.description.seriesInformation Systems Working Papers SeriesEN
Appears in Collections:IOMS: Information Systems Working Papers

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