Abstract
The traffic on World Wide Web is increasing rapidly and huge amount of data is generated due to users’ numerous interactions with web sites. Web Usage Mining is the application of data mining techniques to discover the useful and interesting patterns from web usage data. It supports to know frequently accessed pages, predict user navigation, improve web site structure etc. In order to apply Web Usage Mining, various steps are performed. This paper discusses the process of Web Usage Mining consisting steps: Data Collection, Pre-processing, Pattern Discovery and Pattern Analysis. It has also presented Web Usage Mining applications and some Web Mining software.
Highlights
Nowadays, the World Wide Web is growing continuously
Based on kind of data to be mined Web Mining can be classified into three different categories: Web Content Mining, Web Structure Mining and Web Usage Mining
For Web Usage Mining in e-commerce, the data of customer profile, inventory and demographic information from other relational databases are integrated with web usage data and visitors’ behaviour patterns can be discovered by applying data mining techniques such as Association Rules, Sequential Analysis, Clustering and Classification
Summary
The World Wide Web is growing continuously. Users interact frequently with different web sites and can access plenty of information on WWW. Knowledge discovered by Web Usage Mining, is useful in analyzing how the web pages are accessed or what are seeking for by the users and to find weaknesses in the website structure. In Web Usage Mining, data mining techniques are applied to preprocessed web log data in order to find interesting and useful patterns. For Web Usage Mining in e-commerce, the data of customer profile, inventory and demographic information from other relational databases are integrated with web usage data and visitors’ behaviour patterns can be discovered by applying data mining techniques such as Association Rules, Sequential Analysis, Clustering and Classification. Web Usage Mining can help ecommerce companies to improve the web site, attract visitors, to provide personalized and adaptive service to regular user, identify potential customers for e-commerce, supporting business intelligence and marketing decisions etc
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