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» Graph Mining using Graph Pattern Profiles
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128
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 2 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
248
Voted
ICDE
2008
IEEE
203views Database» more  ICDE 2008»
16 years 3 months ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
15 years 8 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
121
Voted
GG
2004
Springer
15 years 7 months ago
Workshop on Graph-Based Tools
Graphs are well-known, well-understood, and frequently used means to depict networks of related items. They are successfully used as the underlying mathematical concept in various ...
Tom Mens, Andy Schürr, Gabriele Taentzer
ICCAD
2001
IEEE
101views Hardware» more  ICCAD 2001»
15 years 11 months ago
Instruction Generation for Hybrid Reconfigurable Systems
In this work, we present an algorithm for simultaneous template generation and matching. The algorithm profiles the graph and iteratively contracts edges to create the templates. ...
Ryan Kastner, Seda Ogrenci Memik, Elaheh Bozorgzad...