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Using Markov Model and Popularity and Similarity-based Page Rank Algorithm for Web Page Access Prediction
http://hdl.handle.net/20.500.12678/0000007362
http://hdl.handle.net/20.500.12678/00000073621aaeada3-df72-4483-a3af-26202b67f2bd
60c23eb4-5157-4612-8659-b00e03a633a4
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Using Markov Model and Popularity and Similarity-based Page Rank Algorithm for Web Page Access Prediction | |||||
Language | en | |||||
Publication date | 2014-03-29 | |||||
Authors | ||||||
Phyu Thwe | ||||||
Description | ||||||
In this paper, we proposed to use clustering techniques to cluster the data sets from the results of the preprocessing phase. As a result, a more accurate Markov model is built based on each group rather than the whole data sets. | ||||||
Keywords | ||||||
Page Rank Algorithm, Web Log Mining, Web Page Prediction, Web Usage Mining. | ||||||
Conference papers | ||||||
ICAET 2014 | ||||||
29-03-2014 | ||||||
International Conference on Advances in Engineering and Technology | ||||||
Singapore |