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KDD
2012
ACM
242views Data Mining» more  KDD 2012»
13 years 9 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
KDD
2010
ACM
217views Data Mining» more  KDD 2010»
15 years 5 months ago
Mining program workflow from interleaved traces
Successful software maintenance is becoming increasingly critical due to the increasing dependence of our society and economy on software systems. One key problem of software main...
Jian-Guang Lou, Qiang Fu, Shengqi Yang, Jiang Li, ...
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KDD
2012
ACM
221views Data Mining» more  KDD 2012»
13 years 9 months ago
Fast mining and forecasting of complex time-stamped events
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
Yasuko Matsubara, Yasushi Sakurai, Christos Falout...
ICMCS
2006
IEEE
113views Multimedia» more  ICMCS 2006»
16 years 1 months ago
On Parallelization of a Video Mining System
As digital video data becomes more pervasive, mining information from multimedia data becomes increasingly important. Although researches in multimedia mining area have shown grea...
Wenlong Li, Eric Li, Nan Di, Carole Dulong, Tao Wa...
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
15 years 11 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...