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A Survey on Various Clustering Algorithms in Web Mining for Efficient Data Retrieval

Author(s):

Sathya V , MGR COLLEGE; P. Nithya, PERIYAR UNIVERSITY

Keywords:

Clustering Techniques, Efficient Retrieval, Web Mining and Accuracy

Abstract

The objective of data mining is defined as process of retrieving information from a huge database which contain raw data and convert it into understandable form of user for future use. More number of approaches has been developed to extract needed information such as, classification and clustering. For efficient data analysis and data mining clustering is an important application. In clustering various approaches are available like, Clustering can be done by the different no. of algorithms such as hierarchical, partitioning, grid and density based algorithms. Under these clustering types more number of approaches has been available. In this paper a survey is conducted to identify accuracy of clustering approaches. The analysis is discussed and summarized.

Other Details

Paper ID: IJSRDV5I120115
Published in: Volume : 5, Issue : 12
Publication Date: 01/03/2018
Page(s): 125-128

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