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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | active mining / classification rule mining / MEDLINE / background knowledge |
Paper # | AI2002-74 |
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Committee | AI |
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Conference Date | 2003/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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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 |