An Illustration of Mining Access Pattern (MAP) For Commercial Websites

Abstract

Data mining automates the process of finding relationships and patterns in raw data and delivers results that will optimize business decisions, increase the value of each customer and communication to improve satisfaction of customer with our services. A class of database applications that look for access patterns in a group of data that can be used to predict future behavior. Mining access pattern is the sequence of accesses pursued by users frequently; is a kind of interesting and useful knowledge in practice. Essentially, a Mining Access Pattern is a special case of sequential pattern in commercial websites. A data structure called Mining Access Pattern tree or MAP-tree in short, is developed, which stores highly compressed, critical information for access patterns mining and facilitates the development of algorithms for mining access patterns efficiently in commercial websites which promotes business transactions such as selling the products which are carried out over the web and that has been a key driving force in the rapid growth of electronic commerce. In this paper we explore a new data mining capability which mines access patterns in commercial websites by applying the weblog mining to E-commerce servers.