Presentation 2013-02-18
Knowledge Acquisition on Selection of Humanities and Sciences from the Questionnaire
Yuta NOTSUDA, Kenichi TAKAHASHI, Michimasa INABA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper descnbes experimental results to extract features of students majonng in humanities and sciences respectively, in order to show factors that influence the selection when students select their course, 1 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 data mining methods.
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Keyword(in English) Data Mining / Decision Tree / Principal Component Analysis / Bayesian Network / Weka
Paper # AI2012-24
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Conference Information
Committee AI
Conference Date 2013/2/11(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 from the Questionnaire
Sub Title (in English)
Keyword(1) Data Mining
Keyword(2) Decision Tree
Keyword(3) Principal Component Analysis
Keyword(4) Bayesian Network
Keyword(5) 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
3rd Author's Name Michimasa INABA
3rd Author's Affiliation Graduate School of Information Sciences, Hiroshima City University
Date 2013-02-18
Paper # AI2012-24
Volume (vol) vol.112
Number (no) 435
Page pp.pp.-
#Pages 6
Date of Issue