Title: To identify the usage of clustering techniques for improving search result of a website

Authors: Shashi Mehrotra; Shruti Kohli; Aditi Sharan

Addresses: Department of Computer Science, Birla Institute of Technology, Mesra, India ' Department of Computer Science, Birla Institute of Technology, Mesra, India ' School of Computer and System Sciences, Jawaharlal Nehru University, New Delhi, India

Abstract: Clustering has drawn much attention to research community due to its advantages and wide applications. However, clustering is a challenging problem, as many factors play a significant role. The same algorithm may generate different output if there is a change in parameters, presentation order or similarity measure. The search option is used excessively on almost every website. Grouping the search results in various folders will improve web browsing and that can be achieved by applying clustering over results. Clustering web elements facilitate data analysis in various ways. In this paper, we present well-known clustering algorithms and identify their different usages for the web elements. The paper discusses some significant work conducted in this field.

Keywords: clustering algorithm; distance measure; web analytics; complexity.

DOI: 10.1504/IJDMMM.2018.093879

International Journal of Data Mining, Modelling and Management, 2018 Vol.10 No.3, pp.229 - 249

Available online: 30 Jul 2018 *

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