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A Survey on Web Content Mining Techniques and Its Tools

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dc.contributor.author Aung, Yi Yi
dc.contributor.author Thu, Ei Ei
dc.date.accessioned 2019-07-03T04:05:52Z
dc.date.available 2019-07-03T04:05:52Z
dc.date.issued 2015-02-05
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/180
dc.description.abstract The World Wide Web (WWW) is a rich source of information and continues to expand in size. The complexity at the WWW makes it difficult for data mining. Before the Web, finding information meant asking a friend or an expert, or buying/borrowing a book. However, it is becoming a challenging task to effectively and efficiently retrieve the required web page /information on dynamic and heterogeneous web documents. If we can efficiently use web content mining techniques and tools, we can easily extract useful information from various forms of web page content by eliminating noisy information. This paper presents different web content mining techniques such as structured, unstructured, semi-structured and multimedia and five tools that can collect the appropriate information from websites that the user requires. The focus of this paper is to bring to light the value of Web Content Mining techniques and its tools in virtual society. en_US
dc.language.iso en en_US
dc.publisher Thirteenth International Conferences on Computer Applications(ICCA 2015) en_US
dc.subject Web content mining en_US
dc.subject Web content mining techniques en_US
dc.title A Survey on Web Content Mining Techniques and Its Tools en_US
dc.type Article en_US


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