Presentation 2011-03-03
PC Usage Pattern Analysis through Active Window Transition Logs at Work
Ryohei SAITO, Yuta YAMAKAWA, Tetsuji KUBOYAMA, Hiroshi YASUDA,
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Abstract(in English) This paper proposes a simple method for analysing PC usage logs aiming to identify working patterns and behaviors of employees at work. The logs we analyse are recorded at individual PCs for employees in a company, and include active window transitions, the number of keystrokes, and mouse distance traveled per units of time. Through a simple method based on singular value decomposition (SVD), we show that aggragate PC usage patterns of employees are extracted.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Log Analysis / Pattern Extraction / Data Mining
Paper # LOIS2010-77
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Committee LOIS
Conference Date 2011/2/24(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) PC Usage Pattern Analysis through Active Window Transition Logs at Work
Sub Title (in English)
Keyword(1) Log Analysis
Keyword(2) Pattern Extraction
Keyword(3) Data Mining
1st Author's Name Ryohei SAITO
1st Author's Affiliation R&D Division, Humming Heads, Inc.()
2nd Author's Name Yuta YAMAKAWA
2nd Author's Affiliation R&D Division, Humming Heads, Inc.
3rd Author's Name Tetsuji KUBOYAMA
3rd Author's Affiliation Gakushuin University, Computer Centre
4th Author's Name Hiroshi YASUDA
4th Author's Affiliation Tokyo Denki University
Date 2011-03-03
Paper # LOIS2010-77
Volume (vol) vol.110
Number (no) 450
Page pp.pp.-
#Pages 6
Date of Issue