Main Reference PaperEnhanced Model of Web Page Prediction using Page Rank and Markov Model, International Journal of Computer Applications, April 2016 [Java/J2EE].
  • To predict the web page, this work implements the web page prediction technique which combines clustering with markov rule and page ranking algorithm. The similar web pages are clustered using K-means clustering algorithm. The probability of each web page is calculated which determines the PageRank of web-pages, then it applies the Markov rule on each cluster to evaluate occurrences of each web pages visited and predicts the web pages.

+ Description
  • To predict the web page, this work implements the web page prediction technique which combines clustering with markov rule and page ranking algorithm. The similar web pages are clustered using K-means clustering algorithm. The probability of each web page is calculated which determines the PageRank of web-pages, then it applies the Markov rule on each cluster to evaluate occurrences of each web pages visited and predicts the web pages.

  • To predict the next web page from the current web page.

  • Reducing time consumption.

+ Aim & Objectives
  • To predict the next web page from the current web page.

  • Reducing time consumption.

  • A technique is contributed to improve the proposed scheme.

+ Contribution
  • A technique is contributed to improve the proposed scheme.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1 and J2EE

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1 and J2EE

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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