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A Review: Web Content Mining Techniques

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 238)


World Wide Web provides a powerful platform that stores and retrieves mass information. It becomes a time-consuming and uncomfortable task to search the information due to its unstructured and heterogeneous nature of data on the World Wide Web. Web mining is one of the popular techniques of data mining that is used to discover and extract useful information from web documents and its services. Web usage mining, web structure, and web content are three different categories of web data mining. Each of these categories has various methods, tools, and approaches to excerpt data from volume of information over the web. This review paper states various issues, while encountering information from the web and also states various problems occurred while finding appropriate information from the web. This paper also introduces different techniques and approaches of web content mining for different types of data. This paper also states various applications of web content mining.


  • Web mining
  • Web content mining
  • Web structure mining
  • Web usage mining

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Shah, P., Pandit, H.B. (2022). A Review: Web Content Mining Techniques. In: Nanda, P., Verma, V.K., Srivastava, S., Gupta, R.K., Mazumdar, A.P. (eds) Data Engineering for Smart Systems. Lecture Notes in Networks and Systems, vol 238. Springer, Singapore.

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