• Hemang Desai

Web mining, a sub-field of data mining, focuses on discovering valuable information from web data. It encompasses several techniques and methods for extracting patterns from web content, structure, and usage data. The main objective of web mining is to provide insights that can optimize user experience, enhance content retrieval, and support various applications such as recommendation systems and business intelligence. This paper offers a comprehensive review of web mining, focusing on its methods, applications, and the key challenges faced in this domain. We examine the different types of web mining, explore their uses in various industries, and highlight the limitations and open issues for future research.

A Comprehensive Review of Web Mining: Methods, Applications, and Key Challenges

"A Comprehensive Review of Web Mining: Methods, Applications, and Key Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 3, page no.368-371, March-2015, Available :http://www.jetir.org/papers/JETIR1701D06.pdf

"A Comprehensive Review of Web Mining: Methods, Applications, and Key Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 3, page no. pp368-371, March-2015, Available at : http://www.jetir.org/papers/JETIR1701D06.pdf