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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 6 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
13 years 10 months ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
NGC
2008
Springer
165views Communications» more  NGC 2008»
13 years 4 months ago
Hyperlink Recommendation Based on Positive and Negative Association Rules
The new HRS method for hyperlink recommendation based on positive and confined negative association rules is presented in the paper. Discovered with the new PANAMA algorithm rules ...
Przemyslaw Kazienko, Marcin Pilarczyk
WISE
2005
Springer
13 years 11 months ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
IADIS
2009
13 years 3 months ago
Proposed framework for data mining in e-learning: The case of open e-class
Web-based learning environments are extensively used nowadays. These environments maintain and produce vast amounts of data. Such vastness lead to the application of data mining t...
Ioannis Kazanidis, Stavros Valsamidis, Theodosios ...