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http://hdl.handle.net/1942/706
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DC Field | Value | Language |
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dc.contributor.author | GOETHALS, Bart | - |
dc.contributor.author | VAN DEN BUSSCHE, Jan | - |
dc.date.accessioned | 2005-04-11T13:49:14Z | - |
dc.date.available | 2005-04-11T13:49:14Z | - |
dc.date.issued | 1999 | - |
dc.identifier.citation | ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. | - |
dc.identifier.uri | http://hdl.handle.net/1942/706 | - |
dc.description.abstract | The concept of inductive database, proposed by Mannila, is a beautiful formalization of the interactive mining process. In the concrete setting of association rule mining, an inductive database provides virtual tables containing virtually all itemsets and rules over the data. The user does not care how these inductive tables are implemented: for him, mining is nothing but querying these tables.... | - |
dc.format.extent | 158050 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | A priori versus a posteriori filtering of association rules | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 1999 | - |
local.bibliographicCitation.conferencename | ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery | - |
local.type.specified | Proceedings Paper | - |
dc.bibliographicCitation.oldjcat | C2 | - |
local.bibliographicCitation.btitle | ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery | - |
item.fulltext | With Fulltext | - |
item.fullcitation | GOETHALS, Bart & VAN DEN BUSSCHE, Jan (1999) A priori versus a posteriori filtering of association rules. In: ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.. | - |
item.contributor | GOETHALS, Bart | - |
item.contributor | VAN DEN BUSSCHE, Jan | - |
item.accessRights | Open Access | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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datamining6.pdf | 154.35 kB | Adobe PDF | View/Open |
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