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Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries.
Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.
The many academic areas covered in this publication include, but are not limited to:
Web usage mining is the application of data mining technologies to discover interesting usage patterns from web data in order to understand and better serve the needs of web-based applications. The burgeoning amount of information available in the websites simultaneously created the challenge of retrieving precise and appropriate information as needed. This book will provide the application of data mining techniques to the usage logs of large web data repositories in order to produce results that can be applied to practical subjects, such as improving websites/pages making additional topic or product recommendations, user/customer behavior studies, among others.