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» A Dynamic Clustering-Based Markov Model for Web Usage Mining
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CN
2006
163views more  CN 2006»
13 years 5 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
ACSC
2008
IEEE
13 years 11 months ago
Integrating recommendation models for improved web page prediction accuracy
Recent research initiatives have addressed the need for improved performance of Web page prediction accuracy that would profit many applications, ebusiness in particular. Differ...
Faten Khalil, Jiuyong Li, Hua Wang
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 5 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
SAC
2006
ACM
13 years 11 months ago
A privacy preserving web recommender system
In this paper we propose a recommender system that helps users to navigate though the Web by providing dynamically generated links to pages that have not yet been visited and are ...
Ranieri Baraglia, Claudio Lucchese, Salvatore Orla...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 5 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu