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ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
14 years 11 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
117
Voted
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
15 years 11 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
145
Voted
DKE
2010
167views more  DKE 2010»
14 years 11 months ago
Discovering private trajectories using background information
Trajectories are spatio-temporal traces of moving objects which contain valuable information to be harvested by spatio-temporal data mining techniques. Applications like city traf...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
16 years 2 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
108
Voted
KDD
2002
ACM
191views Data Mining» more  KDD 2002»
16 years 2 months ago
Multimedia Knowledge Integration, Summarization And Evaluation
This paper presents new methods for automatically integrating, summarizing and evaluating multimedia knowledge. These are essential for multimedia applications to efficiently and ...
Ana B. Benitez, Shih-Fu Chang