## Abstract We present a novel application of knowledge discovery technology to a developing and challenging application area such as bioinformatics. This methodology allows the identification of relationships between lowβmagnitude similarity (LMS) sequence patterns and other wellβcontrasted protei
Mining association rules using inverted hashing and pruning
β Scribed by John D. Holt; Soon M. Chung
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 224 KB
- Volume
- 83
- Category
- Article
- ISSN
- 0020-0190
No coin nor oath required. For personal study only.
β¦ Synopsis
In this paper, we propose a new algorithm named Inverted Hashing and Pruning (IHP) for mining association rules between items in transaction databases. The performance of the IHP algorithm was evaluated for various cases and compared with those of two well-known mining algorithms, Apriori algorithm [Proc.
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