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- LIN Chun-Wei
- Harbin Institute of Technology Shenzhen Graduate School
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- HONG Tzung-Pei
- National University of Kaohsiung National Sun Yat-sen University
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- LAN Guo-Cheng
- National Cheng Kung University
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- WONG Jia-Wei
- National Sun Yat-sen University
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- LIN Wen-Yang
- National University of Kaohsiung
Bibliographic Information
- Other Title
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- A Decremental Utility Mining Algorithm Based on the Pre-large Concepts
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Description
<p>In the past, utility mining was proposed to measure the utility values of purchased items for revealing high utility itemsets from a quantitative database. In dynamic data mining, transactions may be inserted, or deleted in the database. A batch mining procedure must rescan the whole updated database to maintain the up-to-date information. In this paper, a decremental mining algorithm is thus proposed for efficiently maintaining the discovered high utility itemsets due to transaction deletion based on the pre-large concept. Experimental results show that the proposed decremental high utility mining algorithm outperforms existing batch algorithms.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2013 (0), 2A1IOS3b3-2A1IOS3b3, 2013
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390282763024652544
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- NII Article ID
- 40020303207
- 130007422604
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- NII Book ID
- AA11578981
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- ISSN
- 13479881
- 27587347
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- NDL BIB ID
- 025986303
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- CiNii Articles
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- Abstract License Flag
- Disallowed