Extraction operation know-how from historical operation data - using characterization method of time series data and data mining method

Kazuhiro Takeda; Yoshifumu Tsuge; Hisayoshi Matsuyama

doi:10.1007/978-3-540-30133-2_48

Extraction operation know-how from historical operation data - using characterization method of time series data and data mining method

Kazuhiro Takeda, Yoshifumu Tsuge, Hisayoshi Matsuyama

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In these days, it is very difficult to hand down experts' operation know-how to beginner, because of operation technique of a large and highly complex plant and reducing operators. On the other hand, data mining methods (See5, naive bayes, k-nearest neighbor, and so on) has been proposed as knowledge discovering methods from a huge amount of data. See5 outputs decision trees or IF-THEN rules as data mining results. However, See5 cannot recognize data as time series. In this study, an extraction method of experts' operation know-how from historical operation data is proposed. Furthermore efficiencies of the proposed method are demonstrated by numerical experiments using a dynamic simulator.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Mircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
Publisher	Springer Verlag
Pages	375-381
Number of pages	7
ISBN (Print)	9783540232063
DOIs	https://doi.org/10.1007/978-3-540-30133-2_48
Publication status	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3214
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-30133-2_48

Cite this

Takeda, K., Tsuge, Y., & Matsuyama, H. (2004). Extraction operation know-how from historical operation data - using characterization method of time series data and data mining method. In M. G. Negoita, R. J. Howlett, & L. C. Jain (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 375-381). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3214). Springer Verlag. https://doi.org/10.1007/978-3-540-30133-2_48

Extraction operation know-how from historical operation data - using characterization method of time series data and data mining method. / Takeda, Kazuhiro; Tsuge, Yoshifumu; Matsuyama, Hisayoshi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Mircea Gh. Negoita; Robert J. Howlett; Lakhmi C. Jain. Springer Verlag, 2004. p. 375-381 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3214).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Takeda, K, Tsuge, Y & Matsuyama, H 2004, Extraction operation know-how from historical operation data - using characterization method of time series data and data mining method. in MG Negoita, RJ Howlett & LC Jain (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3214, Springer Verlag, pp. 375-381. https://doi.org/10.1007/978-3-540-30133-2_48

Takeda K, Tsuge Y, Matsuyama H. Extraction operation know-how from historical operation data - using characterization method of time series data and data mining method. In Negoita MG, Howlett RJ, Jain LC, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 375-381. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30133-2_48

Takeda, Kazuhiro ; Tsuge, Yoshifumu ; Matsuyama, Hisayoshi. / Extraction operation know-how from historical operation data - using characterization method of time series data and data mining method. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Mircea Gh. Negoita ; Robert J. Howlett ; Lakhmi C. Jain. Springer Verlag, 2004. pp. 375-381 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Extraction operation know-how from historical operation data - using characterization method of time series data and data mining method

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