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Paper Abstract and Keywords
Presentation 2012-08-02 10:30
Query Processing over Probabilistic Data Streams
Sho Kato (Nagoya Univ), Yoshiharu Ishikawa (Nagoya Univ/NII) DE2012-20
Abstract (in Japanese) (See Japanese page) 
(in English) Query prosessing techniques for sensor data have become important, because the sensor data have increased explosively by growth of sensor devices. Most of sensor data is represented as data streams queried in a real-time manner or a retrospective manner using the stored data streams. Richer query languages over data streams are requierd because of the nature of data streams that is diffrent from that of traditional data. Based on this background, a query language for pattern matching over data streams, called SASE+ was developed. SASE+ is a richer language that contains constructs for expressing the Kleene closure and strategies for selecting relevant data from an input stream mixing relevant and irrelevant data. Since sensor data may be inaccurate because of sensing noise or lack of data, we often apply preprocessing to raw data using a statistical model and so on. Therefore, we focus on query prosessing over preprosessed data streams, particularly probabilistic data streams that are the results of preprosessing using probabilistic model, which are proposed in Markovian Streams. In this paper, we propose a query prosessing method over this probabilistic data stream model using extended SASE+, and also discuss query processing for stored data streams.
Keyword (in Japanese) (See Japanese page) 
(in English) Probabilistic data streams / SASE+ / NFA$^{b}$ automaton / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 172, DE2012-20, pp. 23-28, Aug. 2012.
Paper # DE2012-20 
Date of Issue 2012-07-25 (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)
Download PDF DE2012-20

Conference Information
Committee DE  
Conference Date 2012-08-01 - 2012-08-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Big Data Engineering, etc 
Paper Information
Registration To DE 
Conference Code 2012-08-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Query Processing over Probabilistic Data Streams 
Sub Title (in English)  
Keyword(1) Probabilistic data streams  
Keyword(2) SASE+  
Keyword(3) NFA$^{b}$ automaton  
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1st Author's Name Sho Kato  
1st Author's Affiliation Nagoya University (Nagoya Univ)
2nd Author's Name Yoshiharu Ishikawa  
2nd Author's Affiliation Nagoya University/National Institute of Informatics (Nagoya Univ/NII)
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Speaker Author-1 
Date Time 2012-08-02 10:30:00 
Presentation Time 30 minutes 
Registration for DE 
Paper # DE2012-20 
Volume (vol) vol.112 
Number (no) no.172 
Page pp.23-28 
#Pages 6 
Date of Issue 2012-07-25 (DE) 

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