Presentation 2003/9/8
Experimental Evaluation of Time-series Decision Tree
Yuu YAMADA, Einoshin SUZUKI, Hideto YOKOI, Katsuhiko TAKABAYASHI,
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Abstract(in English) In this paper, we give experimental evaluation of our time-series decision tree induction method under various conditions. It has been empirically observed that the method induces accurate and comprehensive decision trees in time-series classification, which has gaining increasing attention due to its importance in various real-world applications. The evaluation has revealed several important findings including interaction between a split test and its goodness.
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Keyword(in English) Time-series Decision Tree / Time-series Classification / Split Test / Misclassification cost / Medical Test Data
Paper # AI2003-54
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Committee AI
Conference Date 2003/9/8(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) Experimental Evaluation of Time-series Decision Tree
Sub Title (in English)
Keyword(1) Time-series Decision Tree
Keyword(2) Time-series Classification
Keyword(3) Split Test
Keyword(4) Misclassification cost
Keyword(5) Medical Test Data
1st Author's Name Yuu YAMADA
1st Author's Affiliation Faculty of Engineering, Yokohama National University()
2nd Author's Name Einoshin SUZUKI
2nd Author's Affiliation Faculty of Engineering, Yokohama National University
3rd Author's Name Hideto YOKOI
3rd Author's Affiliation Division of Medical Informatics, Chiba University Hospital
4th Author's Name Katsuhiko TAKABAYASHI
4th Author's Affiliation Division of Medical Informatics, Chiba University Hospital
Date 2003/9/8
Paper # AI2003-54
Volume (vol) vol.103
Number (no) 305
Page pp.pp.-
#Pages 6
Date of Issue