Presentation	2005/7/25 Behavior Accumulation and Pattern Discovery in Sensing Room Taketoshi MORI,
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Abstract(in English)	This paper proposes a behavior pattern discovery system based on accumulated behavior data in room-type sensing environment. The room called 'Sensing Room' is built as a first step of intelligent residence that remembers and supports living pattern. The behaviors in daily-life are recorded in the environment with embedded sensors, and the discovery system learns and predicts the characteristic patterns that would be followed by the behaviors to be predicted. The authors applied a method of discovering time-series association rules, which discovers frequent combinations of events that called episodes. The discovery system observes behaviors with the sensors in the room and outputs the prediction of the future behaviors based on the rules.
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Keyword(in English)	Knowledge Discovery / Ubiquitous Sensing / Behavior Measurement / Pervasive Computing
Paper #	AI2005-14
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Conference Information
Committee	AI
Conference Date	2005/7/25(1days)
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Paper Information
Registration To	Artificial Intelligence and Knowledge-Based Processing (AI)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Behavior Accumulation and Pattern Discovery in Sensing Room
Sub Title (in English)
Keyword(1)	Knowledge Discovery
Keyword(2)	Ubiquitous Sensing
Keyword(3)	Behavior Measurement
Keyword(4)	Pervasive Computing
1st Author's Name	Taketoshi MORI
1st Author's Affiliation	Graduate School of Information Science and Technology, The University of Tokyo()
Date	2005/7/25
Paper #	AI2005-14
Volume (vol)	vol.105
Number (no)	224
Page	pp.pp.-
#Pages	4
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