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Web Usage Mining from Bing Liu. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, Springer Chapter written by Bashed Mobster Many slides are from a tutorial given by B. Band, B. Mobster,
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Web usage mining is the process of extracting useful information and patterns from web usage data to understand user behavior, preferences, and trends on websites.
Web usage mining is usually performed by website owners, administrators, or analysts who are interested in studying user behavior and improving website performance.
Filling out web usage mining involves collecting web usage data through various techniques such as server logs, clickstream analysis, or tracking codes, and then applying data mining algorithms to uncover insights from the collected data.
The purpose of web usage mining is to gain valuable insights into user behavior, improve website design and functionality, enhance marketing strategies, personalize user experiences, and make data-driven business decisions.
The information that is typically reported in web usage mining includes user demographics, clickstream data, session duration, referral sources, popular pages, navigation paths, and any other relevant metrics or patterns.
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