Detecting Usability and Scalability of Various Search Engine using Web Content Mining Techniques: A Survey |
Author(s): |
| Hiral Kantilal Chhaniyara , SAL INSTITUTE OF TECHNOLOGY AND ENGINEERING RESEARCH; Drashti Bhavsar, SAL INSTITUTE OF TECHNOLOGY AND ENGINEERING RESEARCH; Krunal Joshi, SAL INSTITUTE OF TECHNOLOGY AND ENGINEERING RESEARCH; Jagrati Shekhawat, SAL INSTITUTE OF TECHNOLOGY AND ENGINEERING RESEARCH |
Keywords: |
| Web Content Mining, Structured Data Mining, Unstructured Data Mining, Semi-Structured Data Mining, Data Mining |
Abstract |
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Web mining is an application of data mining techniques to extract information or knowledge from Web. Web data processing is method of handling large amount of data. Web mining is used for identifying patterns which is required by users. Web mining second phase is web content mining which dealt mining of text, pictures and various multimedia documents. The primary purpose of web content mining is to identify relevant content as per queries. This paper is divided into three categories 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. By applying content mining techniques to various search engines with relevant data like picture or text, audio or video while comparing their usability and scalability. |
Other Details |
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Paper ID: IJSRDV5I90483 Published in: Volume : 5, Issue : 9 Publication Date: 01/12/2017 Page(s): 674-677 |
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