Paper Abstract and Keywords |
Presentation |
2011-06-20 14:30
Network Change Detection with Its Applications to Advertisement Impact Relation Analysis Yu Hayashi, Kenji Yamanishi (Univ. of Tokyo.) IBISML2011-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper addresses the issue of network change detection with its applications to advertisement impact relation analysis. When we observe a number of time series which variables are related one another and their relations appear or disappear as time goes by, network change detection is to estimate from time series data their relations and its changes.
We employ as a representation of relations among factors a Bayesian network and apply the theory of dynamic model selection to the tracking of its changes. We develop some heuristics for efficient computation of an optimal path of network changes.
We use artificial data sets to demonstrate that our proposed method is able to detect network changes more reliably than the existing method. We further propose the framework to apply network change detection for advertisement impact relation analysis and use real data sets to demonstrate a validity of our proposed framework. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Network Change Detection / Bayesian Network / Dynamic Model Selection / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 87, IBISML2011-9, pp. 59-66, June 2011. |
Paper # |
IBISML2011-9 |
Date of Issue |
2011-06-13 (IBISML) |
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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IBISML2011-9 |
Conference Information |
Committee |
IBISML |
Conference Date |
2011-06-20 - 2011-06-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Takeda Hall |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Machine learning and its applications |
Paper Information |
Registration To |
IBISML |
Conference Code |
2011-06-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Network Change Detection with Its Applications to Advertisement Impact Relation Analysis |
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Network Change Detection |
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Bayesian Network |
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Dynamic Model Selection |
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1st Author's Name |
Yu Hayashi |
1st Author's Affiliation |
The University of Tokyo (Univ. of Tokyo.) |
2nd Author's Name |
Kenji Yamanishi |
2nd Author's Affiliation |
The University of Tokyo (Univ. of Tokyo.) |
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Speaker |
Author-1 |
Date Time |
2011-06-20 14:30:00 |
Presentation Time |
30 minutes |
Registration for |
IBISML |
Paper # |
IBISML2011-9 |
Volume (vol) |
vol.111 |
Number (no) |
no.87 |
Page |
pp.59-66 |
#Pages |
8 |
Date of Issue |
2011-06-13 (IBISML) |