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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
1aaeada3-df72-4483-a3af-26202b67f2bd
60c23eb4-5157-4612-8659-b00e03a633a4
None
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5. 5. Using Markov Model and Popularity and Similarity-based Page Rank Algorithm for (Phyu Thwe).pdf (673 KB)
Publication type
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
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