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KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 10 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
WWW
2010
ACM
14 years 5 months ago
Keyword extraction for social snippets
Today, a huge amount of text is being generated for social purposes on social networking services on the Web. Unlike traditional documents, such text is usually extremely short an...
Zhenhui Li, Ding Zhou, Yun-Fang Juan, Jiawei Han
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 4 months ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
14 years 3 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
PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
14 years 2 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...