Paper Abstract and Keywords |
Presentation |
2015-09-10 15:35
Predicting Customer-Supplier Relationships using Text Information Ryo Ito, Junichiro Mori (Tokyo Univ.) NLC2015-24 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Analytical lens of the concept of business ecosystem has clarified strategies and behaviors of actors em- bedded in business ecosystem. It helped researchers to understand dynamics of systems emerged from intended and unintended results of actors’s behaviors. This paper illustrates recent achievement of research on business ecosystem especially focusing on computational approach. It not only allows analysis of business ecosystem but also supports design of it. We demonstrate and discuss the effectiveness of machine learning approach to model customer-supplier relationships, which can be utilized to design business continuous plan and to find plausible business partners. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
supplychain / supplier selection / text mining / machine learning / svm / lsi / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 222, NLC2015-24, pp. 43-46, Sept. 2015. |
Paper # |
NLC2015-24 |
Date of Issue |
2015-09-03 (NLC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NLC2015-24 |
Conference Information |
Committee |
NLC |
Conference Date |
2015-09-10 - 2015-09-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Convention Room AP Shibuya-Dogenzaka (Tokyo) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The Seventh Text Mining Symposium |
Paper Information |
Registration To |
NLC |
Conference Code |
2015-09-NLC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Predicting Customer-Supplier Relationships using Text Information |
Sub Title (in English) |
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Keyword(1) |
supplychain |
Keyword(2) |
supplier selection |
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text mining |
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machine learning |
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svm |
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lsi |
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1st Author's Name |
Ryo Ito |
1st Author's Affiliation |
University of Tokyo (Tokyo Univ.) |
2nd Author's Name |
Junichiro Mori |
2nd Author's Affiliation |
University of Tokyo (Tokyo Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-09-10 15:35:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2015-24 |
Volume (vol) |
vol.115 |
Number (no) |
no.222 |
Page |
pp.43-46 |
#Pages |
4 |
Date of Issue |
2015-09-03 (NLC) |