The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer’s option to choose from several alternatives, the business community has realized the necessity of intelligent marketing strategies and relationship management. Web usage mining attempts to discover useful knowledge from the secondary data ...

The World Wide Web (WWW) continues to grow at an overwhelming rate in both the sheer volume of traffic and the size and complexity of Web sites. Therefore, it becomes more and more necessary, but difficult to get useful information from Web data, in order to understand and better serve the needs of Web-based applications. As a result, the Web usage mining has become a hot research topic, which ...

Sequential Pattern mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events. The task of discovering frequent sequences is challenging, because the algorithm needs to process a combinatorially explosive number of possible sequences. Discovering hidden information fro...

In this paper we introduce an efficient strategy for discovering Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis. This paper describes each of these phases in ...

Web mining is an important application of data mining techniques to extract knowledge from the Web. Web mining has been explored to a vast degree and different techniques have been proposed for a variety of applications that includes Web Search, Classification and Personalization etc. Most research on Web mining has been from a ‘data’ point of view. The Web mining research is a converging resea...

Web usage mining involves application of data mining techniques to discover usage patterns from the web data. Clustering is one of the important functions in web usage mining. Recent attempts have adapted the C-means clustering algorithm as well as genetic algorithms to find sets of clusters .In this paper; we have proposed a new framework to improve the web sessions’ cluster quality from fuzzy...

When planning a Web site, designers should have not only a clear understanding of user’s profiles and site objectives, but also an asserted knowledge of the way users will browse site pages. Analysis of a site visitors’ behavior is a powerful tool that can be used to gather invaluable hints about how well the site is reaching its goals. Such analysis involves transformation and interpretation o...

Web page prediction is a technique of web usage mining used to predict the next set of web pages that a user may visit based on the knowledge of previously visited web pages. The World Wide Web (WWW) is a popular and interactive medium for publishing the information. While browsing the web, users are visiting many unwanted pages instead of targeted page. The web usage mining techniques are used...

Web usage mining is an application of Web mining which focus on the extraction of useful information from usage data of severs logs. In order to improve the usability of a Web site so that users can more easily find and retrieve information they are looking for, we proposed a recommendation methodology based on correlation rules. A correlation rule is measured not only by its support and confid...

Adaptive Web sites have been extensively studied as the Internet and Web sites continuously grow. Based on Web usage mining, most of these studies focus on providing assistance to users instead of optimizing the Web site itself. This study proposes 0–1 programming models for reorganizing Web sites based on the cohesion between Web pages obtained by Web usage mining. Additionally, the proposed m...