Items where Author is "Jalali, Mehrdad"
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Number of items: 8.
Article
Jalali, Mehrdad and Mustapha, Norwati and Sulaiman, Md. Nasir and Mamat, Ali
(2010)
WebPUM : a web-based recommendation system to predict user future movements.
Expert Systems with Applications, 37.
pp. 6201-6212.
ISSN 0957-4174
Mustapha, Norwati and Jalali, Manijeh and Jalali, Mehrdad
(2009)
Expectation maximization clustering algorithm for user modeling in web usage mining system.
European Journal of Scientific Research, 32 (4).
pp. 467-476.
ISSN 1450-216X
Jalali, Mehrdad and Mustapha, Norwati and Sulaiman, Md. Nasir and Mamat, Ali
(2009)
A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
American Journal of Scientific Research (4).
pp. 17-27.
ISSN 1450-223X
Jalali, Mehrdad and Mustapha, Norwati and Mamat, Ali and Sulaiman, Md. Nasir
(2008)
Web user navigation pattern mining approach based on graph partitioning algorithm.
Journal of Theoretical and Applied Information Technology, 4 (11).
pp. 1125-1130.
ISSN 1992-8645; E-ISSN 1817-3195
Jalali, Mehrdad and Mustapha, Norwati and Sulaiman, Md. Nasir and Mamat, Ali
(2008)
A web usage mining approach based on LCS algorithm in online predicting recommendation systems.
Information Visualisation.
302 -307.
ISSN 1550-6037
Conference or Workshop Item
Jalali, Mehrdad and Mustapha, Norwati and Mamat, Ali and Sulaiman, Md. Nasir
(2008)
A new classification model for online predicting users' future movements.
In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. .
Jalali, Mehrdad and Mustapha, Norwati and Mamat, Ali and Sulaiman, Md. Nasir
(2008)
A new clustering approach based on graph partitioning for navigation patterns mining.
In: 19th International Conference on Pattern Recognition (ICPR 2008), 8-11 Dec. 2008, Tampa, Florida, USA. .
Thesis
Jalali, Mehrdad
(2009)
A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining.
Doctoral thesis, Universiti Putra Malaysia.