Integrating Vague Association Mining with Markov Model

TL;DR

This paper enhances web page request prediction by integrating vague association rules with Markov models using vague set theory to improve accuracy in web usage mining.

Contribution

It introduces the combination of vague rules and Markov models with vague set theory for improved web page request prediction accuracy.

Findings

Improved prediction accuracy demonstrated

Effective integration of vague rules with Markov models

Enhanced web usage mining techniques

Abstract

The increasing demand of world wide web raises the need of predicting the user's web page request.The most widely used approach to predict the web pages is the pattern discovery process of Web usage mining. This process involves inevitability of many techniques like Markov model, association rules and clustering. Fuzzy theory with different techniques has been introduced for the better results. Our focus is on Markov models. This paper is introducing the vague Rules with Markov models for more accuracy using the vague set theory.