Abstract

Web data processing is the method of handling high volume of data. Previous research explains that handling/processing such data is not easy. Therefore, researchers utilize web mining, deals with identifying patterns, which user require. The second phase of web mining is known as web content mining, which dealt mining of pictures, text and graphs etc. The primary purpose of web content mining is to identify the relevance of content according to the queries. The focus of this paper is to present a detailed and comprehensive review of various methods applied for web mining/web content mining. The paper is divided into three parts to discuss, web content mining, web structure mining and web usage mining. Later, we presented application of these approaches for structured, unstructured, semi-structured and multimedia data mining techniques. The underlined motivation is to explore new possibilities in improving the existing techniques and identifying new ways/methods.

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