WEB MINING THROUGH CUSTOMIZED MARKOV ALGORITHM

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2012, Vol 3, Issue 2

Abstract

The problem of predicting a user’s behavior on a web site has gained Importance due to the very increases required web network. It also compulsory for market and research of social behavior. Although many approaches are comes and many will should come, however they all are important at their different different view. Even I (Author, himself), suggests a physical approach to measure web traffic, results in paper titled “The Web Page Prediction by TRP Machine” , however I want to proposed an algorithm for it, which is not physically but logically measures the web traffic at all. Results as “Customized Page Rank algorithm” from simple Page Rank algorithm. Because simple Buddy Prima algorithm gives results after complicated calculations, instead it the novel approach creates less calculations and more clear and precise results as we want. The “Customized Buddy Prima algorithm” is based on the Markov Model with its chain in Forward reasoning [Research Paper on Forward Reasoning in Hierarchical representation , by me, (Author himself)], with the help of Apriori algorithm, Division algorithm, Association rule, page rank algorithm, Eigen vector calculations, modified Adjacency matrix, and many more calculations as tools. The suggested method is very proper as the result point of view, as it gives more proper results as shown by comparison of both two approaches as traditional one and the modified as well.

Authors and Affiliations

Sourabh Mayria, Mr. Mahesh Malviya

Keywords

Related Articles

Design and Implementation of Hybrid Algorithm for e-news Classification.

Data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. As the use of internet is increasing day by day and with the advancement of interne...

Evaluating the Effectiveness of Self and Peer Assessment using PBL on Student Performance and Preference: Malaysians Experience

This paper reports on the effectiveness of students performances between self and peer assessment based on students preferences. A total of 56 respondents from the second year of study at UTeM who enrolled for the Human...

Performance Comparison of Hartley Transform with Hartley Wavelet and Hybrid Hartley Wavelet Transforms for Image Data Compression

This paper proposes image compression using Hybrid Hartley wavelet transform. The paper compares the results of Hybrid Hartley wavelet transform with that of orthogonal Hartley transform and Hartley Wavelet Transform. Ha...

A CLUSTER ANALYSIS AND DECISION TREE HYBRID APPROACH IN DATA MINING TO DESCRIBING TAX AUDIT

In this research, we use clustering and classification methods to mine the data of tax and extract the information about tax audit by using hybrid algorithms K-MEANS, SOM and HAC algorithms from clustering and CHAID and...

Model-Based Tool-Assistance for Packet-Filter Design and its Future

Firewall is a device that secure the private network from unauthorized access. Model based  tool assistance  facilitate the design task and has contribute to the correctness of the filters. But the model based tool ass...

Download PDF file
  • EP ID EP649856
  • DOI 10.24297/ijct.v3i2a.2815
  • Views 110
  • Downloads 0

How To Cite

Sourabh Mayria, Mr. Mahesh Malviya (2012). WEB MINING THROUGH CUSTOMIZED MARKOV ALGORITHM. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 3(2), 249-252. https://europub.co.uk/articles/-A-649856