Web Data Mining: Exploring Hidden Patterns, its Types and Web Content Mining Techniques and Tools
Harmeet Kaur1, Sonal Chawla2
1Harmeet Kaur, Asst. Prof., MCM DAV College for Women, Chandigarh, (Panjab), India.
2Dr. Sonal Chawla, Chairperson, Department of Computer Science and Applications, Panjab University, Chandigarh, (Panjab), India.
Manuscript received on December 06, 2014. | Revised Manuscript received on December 12, 2014. | Manuscript published on December 15, 2014. | PP: 34-36 | Volume-3 Issue-1, December 2014. | Retrieval Number: A0769123114/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The abundance of web data has made it an utmost important source for Web data mining. Web data mining takes WWW data as input and after analysis and discovery, the output i.e. extracted information is used by an organisation. It helps the organisation in taking simpatico decisions for better survival in future. The objective of this paper is four folds. Firstly this paper gives a basic introduction of Web data mining. Secondly, it explains Web data mining categories, thirdly it discusses Web content mining techniques and tools in brief and finally a comparison between various tools available for Web Content Mining.
Keywords: Web Content Mining, Structured data, unstructured data.