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» Probabilistic models for discovering e-communities
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KDD
2002
ACM
110views Data Mining» more  KDD 2002»
14 years 5 months ago
A model for discovering customer value for E-content
There exists a huge demand for multimedia goods and services in the Internet. Currently available bandwidth speeds can support sale of downloadable content like CDs, e-books, etc....
Srinivasan Jagannathan, Jayanth Nayak, Kevin C. Al...
ADC
2006
Springer
188views Database» more  ADC 2006»
13 years 11 months ago
Discovering task-oriented usage pattern for web recommendation
Web transaction data usually convey user task-oriented behaviour pattern. Web usage mining technique is able to capture such informative knowledge about user task pattern from usa...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
AND
2009
13 years 2 months ago
Discovering voter preferences in blogs using mixtures of topic models
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
Pradipto Das, Rohini K. Srihari, Smruthi Mukund
BMVC
2010
13 years 3 months ago
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes
This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns from documents given as word-time occurrences. In this model, docum...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
EDBT
2006
ACM
130views Database» more  EDBT 2006»
14 years 5 months ago
Querying and Updating Probabilistic Information in XML
Abstract. We present in this paper a new model for representing probabilistic information in a semi-structured (XML) database, based on the use of probabilistic event variables. Th...
Serge Abiteboul, Pierre Senellart