A Survey on k-Means Clustering Algorithm Using Different Ranking Methods in Data Mining?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.2, No. 4)Publication Date: 2013-04-15
Authors : Amar Singh Navjot Kaur;
Page : 111-115
Keywords : Web mining; Clustering; K-means; Page rank; Weighted Page rank; Time Rank Algorithm;
Abstract
As the volume of information on the internet is increasing day by day so there is a challenge for website owner to provide proper and relevant information to the internet. So it is the duty of the service provider to provide the relevant and good information to the internet user when they submit query to the search engine. To support the user to move in the result list various ranking methods are used. In this paper, we choose Page Ranking Method called Weighted Page Rank Algorithm which is based on the popularity of the page by taking the importance of both the inlinks and outlinks of the pages. After that we use time rank algorithm for improving the weighted page rank score by using the visit time of the web page. So this concept is very useful to display most valuable pages on the top of the result list.
Other Latest Articles
- TRANSINFORMER ? An Integrated System for Health Monitoring of Power Transformers?
- A Survey of Transport Layer Protocols on Reliability in Wireless Sensor Networks
- Elliptical Iris Detection using Morphological Operations
- Supervised Neural Network using Maximum-Margin (MM) Principle?
- Verifying Integrity and Availability in Multi-Cloud Using PDP?
Last modified: 2013-05-02 15:04:22