A data cleansing method for clustering large-scale transaction databases

Abstract

In this paper, we emphasize the need for data cleansing when clustering large-scale transaction databases and propose a new data cleansing method that improves clustering quality and performance. We evaluate our data cleansing method through a series of experiments. As a result, the clustering quality and performance were significantly improved by up to 165% and 330%, respectively. Copyright © 2010 The Institute of Electronics, Information and Communication Engineers.