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» Ontologie-basiertes Web Mining
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ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
14 years 2 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
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 1 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 1 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 18 days 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...
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
14 years 12 days ago
A viewpoint-based approach for interaction graph analysis
Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applicat...
Sitaram Asur, Srinivasan Parthasarathy