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Paper Abstract and Keywords
Presentation 2010-06-28 09:55
Knowledge Discovery over Continuous Time-series Data Streams
Wei Fan, Toyohide Watanabe (Nagoya Univ.), Koichi Asakura (Daido Univ.) DE2010-2
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, a new generation of mining algorithms is necessary for real-time analysis and query response in data stream applications: for example, outlier detection from sensor network data, prediction of stock price data, web access analysis from click stream data and so on. In this paper, we propose methods for automatic trend detection over time-series data streams to discover useful knowledge. We validate the accuracy and affectivity of our methods by analyzing stock price data and news articles. According to the resultant classifiers which disclose the correlation between stock data and news articles, we can predict rise/drop trend of stock price when given a newly released news article.
Keyword (in Japanese) (See Japanese page) 
(in English) Data stream mining / Trend detection / Text classification / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 107, DE2010-2, pp. 7-12, June 2010.
Paper # DE2010-2 
Date of Issue 2010-06-21 (DE) 
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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Conference Information
Committee DE  
Conference Date 2010-06-28 - 2010-06-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sensor Data Processing, Stream Databases, etc. 
Paper Information
Registration To DE 
Conference Code 2010-06-DE 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Knowledge Discovery over Continuous Time-series Data Streams 
Sub Title (in English)  
Keyword(1) Data stream mining  
Keyword(2) Trend detection  
Keyword(3) Text classification  
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1st Author's Name Wei Fan  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Toyohide Watanabe  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Koichi Asakura  
3rd Author's Affiliation Daido University (Daido Univ.)
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Speaker Author-1 
Date Time 2010-06-28 09:55:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2010-2 
Volume (vol) vol.110 
Number (no) no.107 
Page pp.7-12 
#Pages
Date of Issue 2010-06-21 (DE) 


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