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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 12 days ago
Query result clustering for object-level search
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
15 years 6 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
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
PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
15 years 4 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...
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
15 years 1 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...