A Data Cleansing Method for Clustering Large-Scale Transaction Databases

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초록

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.

키워드

clusteringdata cleansinglarge scale transaction databasesALGORITHM
제목
A Data Cleansing Method for Clustering Large-Scale Transaction Databases
저자
Loh, Woong-KeeMoon, Yang-SaeKang, Jun-Gyu
DOI
10.1587/transinf.E93.D.3120
발행일
2010-11
유형
Article
저널명
IEICE Transactions on Information and Systems
E93D
11
페이지
3120 ~ 3123