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Karthika, K.
- An Efficient Algorithm for Solving Data Clustering Problems
Authors
1 Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, IN
Source
Data Mining and Knowledge Engineering, Vol 8, No 2 (2016), Pagination: 27-30Abstract
This paper presents a new data clustering algorithm called KPSO algorithm, a combination on K-means and Particle swarm Optimization algorithms. Unlike traditional K-means method, KPSO need not specify the number of clusters to be given prior the clustering process and is able to find the optimal number of clusters during the clustering process. In each and every iteration of KPSO, a discrete PSO is used to optimize the number of clusters with which the K-means is used to find the best clustering result.Keywords
Data Clustering, K-Means, Particle Swarm Optimization, Clustering Process.
- Prediction of Web Users Browsing Behaviour Using Fast Longest Common Sub-Sequence
Authors
1 Department of Computer Application, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, IN
2 Sri Ramakrishna Mission Vidyalaya College of Arts and Science, IN
Source
Data Mining and Knowledge Engineering, Vol 8, No 9 (2016), Pagination: 279-285Abstract
As the Web and its usage continues to grow, so grows the opportunity to analyze Web data and extract all manner of useful knowledge from it. The past nine years have seen the emergence of Web mining as a rapidly growing area, due to the efforts of the research community as well as various organizations that are practicing it. The various works proposed in this area with particular emphasize on web usage mining. In the present work, the application of clustering to extract user navigation behaviour pattern is probed and the methods and techniques used are explained in the Methodology. Experiments were conducted on a Pentium IV system with 512MB memory, running in Windows environment. The application was developed in MATLAB 7.3. The results of this study are divided into the following sections: Preprocessing results, Pattern Discovery and Performance Analysis.