Presentation 2011-11-21
Knowledge Acquisition on Selection of Humanities and Sciences Using Decision Tree
Yuta NOTSUDA, Kenichi TAKAHASHI,
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Abstract(in English) This paper describes experimental results to extract features of students majoring in humanities and sciences respectively, in order to show factors that influence the selection when students select their course, i.e. humanities or sciences. In the research, we collect data through questionnaires to students. The questionnaire includes questions such as the lifestyle, subjects studied in schools. Then we analyze the data using the decision tree.
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Keyword(in English) Data Mining / Decision Tree / Weka
Paper # AI2011-18
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Conference Information
Committee AI
Conference Date 2011/11/14(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Knowledge Acquisition on Selection of Humanities and Sciences Using Decision Tree
Sub Title (in English)
Keyword(1) Data Mining
Keyword(2) Decision Tree
Keyword(3) Weka
1st Author's Name Yuta NOTSUDA
1st Author's Affiliation Graduate School of Information Sciences, Hiroshima City University()
2nd Author's Name Kenichi TAKAHASHI
2nd Author's Affiliation Graduate School of Information Sciences, Hiroshima City University
Date 2011-11-21
Paper # AI2011-18
Volume (vol) vol.111
Number (no) 310
Page pp.pp.-
#Pages 6
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