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DATESO
2010
148views Database» more  DATESO 2010»
14 years 9 months ago
Using Spectral Clustering for Finding Students' Patterns of Behavior in Social Networks
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
Gamila Obadi, Pavla Drázdilová, Jan ...
ICDE
2006
IEEE
153views Database» more  ICDE 2006»
16 years 1 months ago
ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery
ConQueSt is a constraint-based querying system devised with the aim of supporting the intrinsically exploratory nature of pattern discovery. It provides users with an expressive c...
Francesco Bonchi, Fosca Giannotti, Claudio Lucches...
WECWIS
2002
IEEE
131views ECommerce» more  WECWIS 2002»
15 years 4 months ago
Mining Client-Side Activity for Personalization
“Garbage in. garbage out” is a well-known phrase in computer analysis, and one that comes to mind when mining Web data to draw conclusions about Web users. The challenge is th...
Kurt D. Fenstermacher, Mark Ginsburg
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 5 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
15 years 6 months ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...