Paper Abstract and Keywords |
Presentation |
2006-01-24 15:50
English Title Hidefumi Machida, Ning Zhong (Maebashi Inst. Tech.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The MVF (Market Value Function) based system has been developed as an application of data mining for targeted marketing and business intelligence. However, the traditional MVF model is difficult to construct the marketing model with a higher accuracy in a database with the large number of customer features. In this paper, we propose an attribute selection method in which background information and criteria in information theory are used to improve the accuracy of the MVF model. The experimental results show the effectiveness of the proposed method
in real-world data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Marketing / MVFs Model / Attribute Selection / Background Information / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 105, pp. 49-54, Jan. 2006. |
Paper # |
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Date of Issue |
2006-01-17 (KBSE) |
ISSN |
Print edition: ISSN 0913-5685 |
Download PDF |
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Conference Information |
Committee |
KBSE JSAI-KBS |
Conference Date |
2006-01-23 - 2006-01-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Keio Univ.(Hiyoshi) |
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(See Japanese page) |
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Paper Information |
Registration To |
JSAI-KBS |
Conference Code |
2006-01-KBSE-JSAI-KBS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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English Title |
Sub Title (in English) |
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Keyword(1) |
Marketing |
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MVFs Model |
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Attribute Selection |
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Background Information |
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1st Author's Name |
Hidefumi Machida |
1st Author's Affiliation |
Maebashi Institute of Technology (Maebashi Inst. Tech.) |
2nd Author's Name |
Ning Zhong |
2nd Author's Affiliation |
Maebashi Institute of Technology (Maebashi Inst. Tech.) |
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Speaker |
Author-1 |
Date Time |
2006-01-24 15:50:00 |
Presentation Time |
35 minutes |
Registration for |
JSAI-KBS |
Paper # |
KBSE2005-35 |
Volume (vol) |
vol.105 |
Number (no) |
no.546 |
Page |
pp.49-54 |
#Pages |
6 |
Date of Issue |
2006-01-17 (KBSE) |