Presentation 2003/3/7
Spiral Cycle of Active Mining by Using an Information Retrieval Approach
TuanNam TRAN, Ryutaro ICHISE, Masayuki NUMAO,
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Abstract(in English) This paper presents a method for realizing active mining. We have constructed a mining system which combines active information gathering and user-centered mining together. Our method modifies C4.5rules by taking into consideration the external weight of each attribute, which can be calculated by means of the number of corresponding documents found in the literature. A method for adjusting the weights introduced in order to reflect the background knowledge concerning the relationship between an attribute and an class is also proposed in this paper. The experiments on two kinds of medical data show that our proposed system is useful in terms of generating interesting rules as well as providing a solution for realizing active mining.
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Keyword(in English) active mining / classification rule mining / MEDLINE / background knowledge
Paper # AI2002-74
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Committee AI
Conference Date 2003/3/7(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spiral Cycle of Active Mining by Using an Information Retrieval Approach
Sub Title (in English)
Keyword(1) active mining
Keyword(2) classification rule mining
Keyword(3) MEDLINE
Keyword(4) background knowledge
1st Author's Name TuanNam TRAN
1st Author's Affiliation Department of Computer Science, Tokyo Institute of Technology()
2nd Author's Name Ryutaro ICHISE
2nd Author's Affiliation Intelligent Systems Research Division, National Institute of Informatics
3rd Author's Name Masayuki NUMAO
3rd Author's Affiliation Department of Computer Science, Tokyo Institute of Technology
Date 2003/3/7
Paper # AI2002-74
Volume (vol) vol.102
Number (no) 710
Page pp.pp.-
#Pages 6
Date of Issue