Paper Abstract and Keywords |
Presentation |
2007-05-31 15:50
An Analysis of Sequential Data with Hierarchical Structure of Time Frame Using Frequent Subtree Mining Ryohei Fukuda, Hiroyuki Oono, Hiroshige Inazumi (Aoyama Gakuin Univ.) AI2007-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Finding hierarchical relations from categorical time series data can be an effective way for feature extraction.
To do this, we convert the data into the ordered tree structures, and get sub-patterns with wild cards using a tree mining algorithm.
As a result, we usually get many sub-patterns.
So, we will use clusters of sub-patterns made by these supports of the time series data, and find characteristics of the data.
We will use this method for classification problem. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Data Mining / Time Series Data / Graph Mining / Semi Structured Data / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 78, AI2007-9, pp. 45-50, May 2007. |
Paper # |
AI2007-9 |
Date of Issue |
2007-05-24 (AI) |
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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AI2007-9 |
Conference Information |
Committee |
AI |
Conference Date |
2007-05-31 - 2007-05-31 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
AI |
Conference Code |
2007-05-AI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Analysis of Sequential Data with Hierarchical Structure of Time Frame Using Frequent Subtree Mining |
Sub Title (in English) |
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Keyword(1) |
Data Mining |
Keyword(2) |
Time Series Data |
Keyword(3) |
Graph Mining |
Keyword(4) |
Semi Structured Data |
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1st Author's Name |
Ryohei Fukuda |
1st Author's Affiliation |
Aoyama Gakuin University (Aoyama Gakuin Univ.) |
2nd Author's Name |
Hiroyuki Oono |
2nd Author's Affiliation |
Aoyama Gakuin University (Aoyama Gakuin Univ.) |
3rd Author's Name |
Hiroshige Inazumi |
3rd Author's Affiliation |
Aoyama Gakuin University (Aoyama Gakuin Univ.) |
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Speaker |
Author-1 |
Date Time |
2007-05-31 15:50:00 |
Presentation Time |
25 minutes |
Registration for |
AI |
Paper # |
AI2007-9 |
Volume (vol) |
vol.107 |
Number (no) |
no.78 |
Page |
pp.45-50 |
#Pages |
6 |
Date of Issue |
2007-05-24 (AI) |
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