ANALYSIS OF MARKOV MODEL AND ITS APPLICATION IN WEB PAGE ANTICIPATION

Shivangi Sorout, Dr. Balkishan

Abstract


In digital era of information where accessing information in limited time frame is necessary, then Markov model helps in the anticipation of the web page. Various network obstacles and minimum bandwidth of network can be efficiently used by employing Markov model and its clustering and pre-fetching technique. Markov Model and its clustering mechanisms helps us to make clusters of similar web users having based on same specified constraints and after the application of the Anticipation framework necessary web page can be accessed.

Keywords


Markov Model, clustering, K-means clustering, Fuzzy c-means clustering and web page Anticipation

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DOI: https://doi.org/10.26483/ijarcs.v8i9.5196

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