Presentation 2017-12-23
Finding Related Events Based on Bursty Phrase Detection and Clustering
Linfeng Qi, Mizuho Iwaihara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Wikipedia is known as the largest up-to-date online encyclopedia, in which articles are versioned and these edits are stored as revisions. In this paper we propose a new method to find related bursty edit events, based on detecting and clustering temporally significant phrases by their bursts over time, from revisions of articles. We discuss evaluation functions to find phrases that are semantically representative as well as temporally significant. After bursts are detected from the time series for each phrase, these phrases are clustered by their temporal similarities, using FastDTW. We evaluate how clustering quality is affected by the time resolution of FastDTW, and discuss optimum time resolution in terms of average burst duration. Experimental results show clustered phrases share similar burst patterns, which can be linked to related real-world events.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Burst patternDTWFastDTWburst detectionclustering
Paper # DE2017-33
Date of Issue 2017-12-15 (DE)

Conference Information
Committee DE / IPSJ-DBS
Conference Date 2017/12/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) National Institute of Informatics
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akiyo Nadamoto(Konan Univ.) / 森嶋 厚行(筑波大)
Vice Chair Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.)
Secretary Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science)
Assistant Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.)

Paper Information
Registration To Technical Committee on Data Engineering / Special Interest Group on Database System
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Finding Related Events Based on Bursty Phrase Detection and Clustering
Sub Title (in English)
Keyword(1) Burst patternDTWFastDTWburst detectionclustering
1st Author's Name Linfeng Qi
1st Author's Affiliation Waseda University(Waseda U.)
2nd Author's Name Mizuho Iwaihara
2nd Author's Affiliation Waseda University(Waseda U.)
Date 2017-12-23
Paper # DE2017-33
Volume (vol) vol.117
Number (no) DE-374
Page pp.pp.67-72(DE),
#Pages 6
Date of Issue 2017-12-15 (DE)