A Data Cleansing Method for Clustering Large-Scale Transaction Databases
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- LOH Woong-Kee
- Department of Multimedia, Sungkyul University
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- MOON Yang-Sae
- Department of Computer Science, Kangwon National University
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- KANG Jun-Gyu
- Department of Industrial & Management Engineering, Sungkyul University
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抄録
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.
収録刊行物
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E93-D (11), 3120-3123, 2010
一般社団法人 電子情報通信学会
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詳細情報
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- CRID
- 1390282679356029696
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- NII論文ID
- 10027988697
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- NII書誌ID
- AA10826272
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- ISSN
- 17451361
- 09168532
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可