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http://hdl.handle.net/1942/705
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | GOETHALS, Bart | - |
dc.contributor.author | VAN DEN BUSSCHE, Jan | - |
dc.date.accessioned | 2005-04-11T13:43:19Z | - |
dc.date.available | 2005-04-11T13:43:19Z | - |
dc.date.issued | 2000 | - |
dc.identifier.citation | DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS. p. 307-316 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/1942/705 | - |
dc.description.abstract | We investigate ways to support interactive mining sessions, in the setting of association rule mining. In such sessions, users specify conditions (queries) on the associations to be generated. Our approach is a combination of the integration of querying conditions inside the mining phase, and the incremental querying of already generated associations. We present several concrete algorithms and compare their performance. | - |
dc.format.extent | 225312 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.title | On supporting interactive association rule mining | - |
dc.type | Journal Contribution | - |
local.bibliographicCitation.conferencename | DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS | - |
dc.identifier.epage | 316 | - |
dc.identifier.spage | 307 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.relation.ispartofseriesnr | 1874 | - |
dc.bibliographicCitation.oldjcat | A1 | - |
item.fulltext | With Fulltext | - |
item.fullcitation | GOETHALS, Bart & VAN DEN BUSSCHE, Jan (2000) On supporting interactive association rule mining. In: DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS. p. 307-316. | - |
item.contributor | GOETHALS, Bart | - |
item.contributor | VAN DEN BUSSCHE, Jan | - |
item.accessRights | Closed Access | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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datamining5.pdf | 220.03 kB | Adobe PDF | View/Open |
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