期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：2321-2325
出版社：TechScience Publications
摘要：Web Usage Mining is an important application of data mining technique used to discover interesting usage patterns from the Web logs to understand and serve the requirements of Web-based applications. A Web log along with the identity of the user captures their browsing behaviour on a web site. Web prediction is a classification problem which attempts to predict the most likely web pages that a user may visit depending on the information of the previously visited web pages. In this paper emphasizes is given on the user future request prediction using web log record, click streams record and user information. The objective of the work is to provide a benchmark for evaluating various method used in past, at present and which can be used in future to minimize the search time of a user on the network. The usefulness of this work can be further enhanced when techniques with different methodologies are used in accordance with each other with the aim to increase the efficacy and probability of the user’s next request prediction.
关键词：Web Usage Mining; Web Log Mining; Future;Request Prediction.
