Web Mining: Analyzing Traversal Patterns

· · ·
· DeepMisti Publication
5,0
2 reviews
eBook
208
Pages
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About this eBook

Web Mining is the application of data mining techniques to discover interesting usage patterns from Web data stored in access logs to understand and better serve the needs of Web-based applications.


This book will focus on entire web usage mining process starting with preprocessing of web logs which includes Data cleaning, user and session identification followed by discussion of various techniques like clustering, association used for pattern discovery and analysis. Algorithms for preprocessing stages have been reviewed and implemented in this book. It will also focus on how patterns discovered after mining of web log are useful for web page recommendation, personalization and various other applications.


This book will be useful for all those who want to gain insight into entire web usage mining process. Till date there is no complete book which focuses on this entire process. 

Ratings and reviews

5,0
2 reviews
Anjali Chauhan
11 October 2024
Web Mining: Analyzing Traversal Patterns" is an excellent resource for anyone looking to dive deep into the field of web mining. The authors, Dr. Priyanka Verma and her co-authors, provide a comprehensive guide that covers both theoretical concepts and practical applications. The explanations are clear, and the book is well-structured, making it easy to follow even for beginners. I really recommend this book!
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Purvi Lunawat
02 March 2025
A thorough and well-written reference for anyone interested in web analytics and data mining is Web Mining: Analyzing Traversal Patterns. Every chapter is supported by case studies, real-world examples, and useful applications, which help to make difficult subjects understandable. It is an exceptional option for novices and seasoned experts in the field due to its clarity, useful insights, and emphasis on traversal patterns.
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