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» Active Mining in a Distributed Setting
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KDD
2010
ACM
253views Data Mining» more  KDD 2010»
14 years 1 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
SIGSOFT
2008
ACM
14 years 10 months ago
Javert: fully automatic mining of general temporal properties from dynamic traces
Program specifications are important for many tasks during software design, development, and maintenance. Among these, temporal specifications are particularly useful. They expres...
Mark Gabel, Zhendong Su
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 10 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
PVLDB
2010
114views more  PVLDB 2010»
13 years 8 months ago
Peer coordination through distributed triggers
This is a demonstration of data coordination in a peer data management system through the employment of distributed triggers. The latter express in a declarative manner individual...
Verena Kantere, Maher Manoubi, Iluju Kiringa, Timo...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 10 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye