Presentation 1997/12/3
On Discovery of Association Rules for Text Retrieval
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The paper studies the heuristics to find a set of keywords from a set of documents. First, the notion of minimum certainty was introduced to filter out unreliable item sets under the assumption that word occurrence in a document is assumed to be a Poisson process. The estimate of error is considered for two main parameters, support and confidence, to control the KDD process. Finally, the algorithm is described to integrate all the criteria for association rule filtering.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Knowledge Discovery in Database / discovery of association rules / text retrieval
Paper # DE97-80
Date of Issue

Conference Information
Committee DE
Conference Date 1997/12/3(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
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Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Discovery of Association Rules for Text Retrieval
Sub Title (in English)
Keyword(1) Knowledge Discovery in Database
Keyword(2) discovery of association rules
Keyword(3) text retrieval
1st Author's Name Kazuo HASHIMOTO
1st Author's Affiliation KDD R&D Laboratories()
2nd Author's Name Kazunori MATSUMOTO
2nd Author's Affiliation KDD R&D Laboratories
Date 1997/12/3
Paper # DE97-80
Volume (vol) vol.97
Number (no) 418
Page pp.pp.-
#Pages 6
Date of Issue