A Review: Web Content Mining Techniques

dc.contributor.authorShah Priyanka
dc.contributor.authorPandit Hardik
dc.date.accessioned2026-06-19T04:52:20Z
dc.date.issued2021
dc.description.abstractWorld 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.
dc.identifier.citation© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 P. Nanda et al. (eds.), Data Engineering for Smart Systems, Lecture Notes in Networks and Systems 238, https://doi.org/10.1007/978-981-16-2641-8_15
dc.identifier.urihttp://160.160.1.15:4000/handle/123456789/419
dc.language.isoen
dc.publisherLecture Notes in Networks and Systems 238 Priyadarsi Nanda · Vivek Kumar Verma · Sumit Srivastava · Rohit Kumar Gupta · Arka Prokash Mazumdar EditorsData Engineering for Smart Systems Proceedings of SSIC 2021
dc.subjectWeb mining · Web content mining · Web structure mining · Web usage mining
dc.titleA Review: Web Content Mining Techniques
dc.typeBook chapter

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