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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data Mining / Decision Tree / Weka |
Paper # | AI2011-18 |
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Conference Information | |
Committee | AI |
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Conference Date | 2011/11/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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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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