Research Article
Pri-Tri: An Innovative Algorithm for Clustering Categorical Data in Data Warehouse
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 20 - Issue 7 |
| Published: April 2011 |
| Authors: S.Hari Ganesh, C.Chandrasekar |
10.5120/2448-3307
|
S.Hari Ganesh, C.Chandrasekar . Pri-Tri: An Innovative Algorithm for Clustering Categorical Data in Data Warehouse. International Journal of Computer Applications. 20, 7 (April 2011), 6-11. DOI=10.5120/2448-3307
@article{ 10.5120/2448-3307,
author = { S.Hari Ganesh,C.Chandrasekar },
title = { Pri-Tri: An Innovative Algorithm for Clustering Categorical Data in Data Warehouse },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 20 },
number = { 7 },
pages = { 6-11 },
doi = { 10.5120/2448-3307 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A S.Hari Ganesh
%A C.Chandrasekar
%T Pri-Tri: An Innovative Algorithm for Clustering Categorical Data in Data Warehouse%T
%J International Journal of Computer Applications
%V 20
%N 7
%P 6-11
%R 10.5120/2448-3307
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In the process of data mining to extract knowledge from large data set needs great potential to extract the hidden nuggets. To cluster the numerical data there are enormous clustering technique. Data mining for categorical data(qualitative and quantitative) the most frequently used algorithms are k-means, k-mediods and fuzzy rule all these methods needs a threshold value to overcome this problem. This paper propose an algorithm to optimize the number of clusters and it also uses novel way to construct the data mart using the concept of multiprocessing Pri-tri algorithm.
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