Discovering Potential User Browsing Behaviors Using Custom-Built Apriori Algorithm

Abstract

Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a while and try to know completely about the running organization. As educational system increasingly requires data mining, the opportunity arises to mine the resulting large amounts of student information for hidden useful information (patterns like rule, clustering, and classification, etc). The education domain offers ground for many interesting

Recommendation system for web article based on association rules and topic modelling

“…Web content mining is a process of picking up information from texts, images, and other contents [7]. Mostly, web content can be seen as a text data or documents.…”

“…Association rule mining especially Apriori algorithm have been studied to uncover potential user browsing behaviors and creating recommendation [7], [11], [16]. Rawat customizes Apriori Algorithm to become custom-built apriori [7]. The goal is to find effective pattern analysis.…”

“…Web mining classified into three categories, namely the web usage mining, we content mining, and web structure mining [6]. Web usage mining is a process of picking up information from the user how to use websites [7]. The objective is to capture, model, and analyze the behavioral patterns and profiles of users interacting with a website [8].…”

Web Mining - A Catalyst For E-Business

“…Many portals are there in the web for selling and buying the product. Everyone has to do something special to cover a group of people to bring more number of people to their business [7][8].…”

A New Viewpoint for Mining Frequent Patterns

“…2012) while some researchers proposed an improved algorithm for mining frequent patterns in large datasets using transposition of the database with minor modification of the Apriori-like algorithm (Gunaseelan and Uma 2012). The custom-built Apriori algorithm (Rawat and Rajamani 2010), and the modified Apriori algorithm (Raghunathan and Murugesan 2010) were introduced but the time consuming has been still a big obstacle. Reduced Candidate Set (RCS) is an algorithm which is more efficiency than original Apriori algorithm (Bahel and Dule 2010).…”