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ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
16 years 4 days 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
INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
15 years 11 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
165
Voted
PAKDD
2010
ACM
198views Data Mining» more  PAKDD 2010»
15 years 11 months ago
A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods
Abstract. The definition of a community in social networks varies with applications. To generalize different types of communities, the concept of linkpattern based community was pr...
Chen-Yi Lin, Jia-Ling Koh, Arbee L. P. Chen
177
Voted
PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
15 years 11 months ago
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems
Tag recommender systems are often used in social tagging systems, a popular family of Web 2.0 applications, to assist users in the tagging process. But in cold-start situations i.e...
Christine Preisach, Leandro Balby Marinho, Lars Sc...
140
Voted
PAKDD
2010
ACM
117views Data Mining» more  PAKDD 2010»
15 years 11 months ago
BASSET: Scalable Gateway Finder in Large Graphs
Given a social network, who is the best person to introduce you to, say, Chris Ferguson, the poker champion? Or, given a network of people and skills, who is the best person to he...
Hanghang Tong, Spiros Papadimitriou, Christos Falo...
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