Presentation 2012-08-02
Query Processing over Probabilistic Data Streams
Sho KATO, Yoshiharu ISHIKAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(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 [3]. 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 [1], [2]. 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)
Keyword(in English) Probabilistic data streams / SASE+ / NFA^b automaton
Paper # DE2012-20
Date of Issue

Conference Information
Committee DE
Conference Date 2012/7/25(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Data Engineering (DE)
Language JPN
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
1st Author's Name Sho KATO
1st Author's Affiliation Nagoya University()
2nd Author's Name Yoshiharu ISHIKAWA
2nd Author's Affiliation Nagoya University:National Institute on Informatics
Date 2012-08-02
Paper # DE2012-20
Volume (vol) vol.112
Number (no) 172
Page pp.pp.-
#Pages 6
Date of Issue