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Analysis of Classification and Clustering Algorithms using Weka For Banking Data

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Author(s): G.Roch Libia Rani | K.Vanitha

Journal: International Journal of Advanced Research in Computer Science
ISSN 0976-5697

Volume: 01;
Issue: 04;
Start page: 104;
Date: 2010;
Original page

Keywords: Classification | Clustering | Naïve | Bayes | Simple | CART | K-Means | DBScan | EM

ABSTRACT
In this paper, we investigate the performance of different classification and clustering algorithms using weka software. The J48,Naive Bayes and Simple CART Classification algorthims are evaluated based on accuracy, time efficiency and error rates. The K-means, DBScan and EM clustering algorithms are evaluated based on accuracy of clustering. We run these algorithms on large and small data sets to evaluate how well they work.
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