Abstract
In this paper, we present an evaluation of a rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices. To reduce the costs of rule evaluation task, which is one of the key procedures in data mining post-processing, we have developed the rule evaluation support method with rule evaluation models, which are obtained with objective indices of mined classification rules and evaluations of a human expert for each rule. Then we have evaluated performances of learning algorithms for constructing rule evaluation models on the meningitis data mining as an actual problem and five rulesets from the five kinds of UCI datasets. With these results, we show the availability of our rule evaluation support method.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 456-461 |
| Number of pages | 6 |
| Volume | 4062 LNAI |
| Publication status | Published - 2006 |
| Event | First International Conference on Rough Sets and Knowledge Technology, RSKT 2006 - Chongqing, China Duration: 2006 Jul 24 → 2006 Jul 26 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4062 LNAI |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | First International Conference on Rough Sets and Knowledge Technology, RSKT 2006 |
|---|---|
| Country | China |
| City | Chongqing |
| Period | 06/7/24 → 06/7/26 |
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Keywords
- Data mining
- Objective indices
- Post-processing
- Rule evaluation support
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Developing a rule evaluation support method based on objective indices. / Abe, Hidenao; Tsumoto, Shusaku; Ohsaki, Miho; Yamaguchi, Takahira.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4062 LNAI 2006. p. 456-461 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4062 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Developing a rule evaluation support method based on objective indices
AU - Abe, Hidenao
AU - Tsumoto, Shusaku
AU - Ohsaki, Miho
AU - Yamaguchi, Takahira
PY - 2006
Y1 - 2006
N2 - In this paper, we present an evaluation of a rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices. To reduce the costs of rule evaluation task, which is one of the key procedures in data mining post-processing, we have developed the rule evaluation support method with rule evaluation models, which are obtained with objective indices of mined classification rules and evaluations of a human expert for each rule. Then we have evaluated performances of learning algorithms for constructing rule evaluation models on the meningitis data mining as an actual problem and five rulesets from the five kinds of UCI datasets. With these results, we show the availability of our rule evaluation support method.
AB - In this paper, we present an evaluation of a rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices. To reduce the costs of rule evaluation task, which is one of the key procedures in data mining post-processing, we have developed the rule evaluation support method with rule evaluation models, which are obtained with objective indices of mined classification rules and evaluations of a human expert for each rule. Then we have evaluated performances of learning algorithms for constructing rule evaluation models on the meningitis data mining as an actual problem and five rulesets from the five kinds of UCI datasets. With these results, we show the availability of our rule evaluation support method.
KW - Data mining
KW - Objective indices
KW - Post-processing
KW - Rule evaluation support
UR - http://www.scopus.com/inward/record.url?scp=33746727043&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33746727043&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33746727043
SN - 3540362975
SN - 9783540362975
VL - 4062 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 456
EP - 461
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -