Active mining project: Overview

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3430 LNAI, Issue , 2005, Pages 1-10

  Tsumoto, Shusaku ^a   Yamaguchi, Takahira ^b   Numao, Masayuki ^c   Motoda, Hiroshi ^c  

^a SHIMANE UNIVERSITY   (Japan)

^b KEIO UNIVERSITY   (Japan)

^c OSAKA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; FEEDBACK; INFORMATION MANAGEMENT; KNOWLEDGE BASED SYSTEMS; PERFORMANCE; REAL TIME SYSTEMS;

KNOWLEDGE DISCOVERY AND DATA MINING (KDD);

DATA MINING;

EID: 26844559410     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11423270_1     Document Type: Conference Paper

References (14)

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2. Onoda, T., Murata, H., Yamada, S.: Relevance feedback document retrieval using support vector machines. In Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H., eds.: Active Mining. Volume 3430 of Lecture Notes in Artificial Intelligence, Berlin, Springer (2005) 59-73
3. Kitamura, Y., Iida, A., Park, K.: Micro view and macro view approaches to discovered rule filtering. In Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H., eds.: Active Mining. Volume 3430 of Lecture Notes in Artificial Intelligence, Berlin, Springer (2005) 74-91
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9. Shimbo, M., Yamasaki, T., Matsumoto, Y.: Sentence role identification in medline abstracts: Training classifier with structured abstracts. In Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H., eds.: Active Mining. Volume 3430 of Lecture Notes in Artificial Intelligence, Berlin, Springer (2005) 242-261
10. Hirano, S., Tsumoto, S.: Empirical comparison of clustering methods for long time-series databases. In Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H., eds.: Active Mining. Volume 3430 of Lecture Notes in Artificial Intelligence, Berlin, Springer (2005) 275-294
11. Okada, T., Yamakawa, M., Niitsuma, H.: Spiral mining using attributes from 3d molecular structures. In Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H., eds.: Active Mining. Volume 3430 of Lecture Notes in Artificial Intelligence, Berlin, Springer (2005) 295-310
12. Takahashi, Y., Nishikoori, K., Fujishima, S.: Classification of pharmacological activity of drugs using support vector machine. In Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H., eds.: Active Mining. Volume 3430 of Lecture Notes in Artificial Intelligence, Berlin, Springer (2005) 311-320
13. Nattee, C., Sinthupinyo, S., Numao, M., Okada, T.: Mining chemical compound structure data using inductive logic programming. In Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H., eds.: Active Mining. Volume 3430 of Lecture Notes in Artificial Intelligence, Berlin, Springer (2005) 92-113
14. Ohsawa, Y., Fujie, H., Saiura, A., Okazaki, N., Matsumura, N.: Cooperative scenario mining from blood test data of hepatitis b and c. In Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H., eds.: Active Mining. Volume 3430 of Lecture Notes in Artificial Intelligence, Berlin, Springer (2005) 321-344