Journal article
CARIBIAM: Constrained Association Rules using Interactive Biological IncrementAl Mining
International journal of bioinformatics research and applications, Vol.4(1), pp.28-48
01/01/2008
DOI: 10.1504/IJBRA.2008.017162
PMID: 18283027
Abstract
This paper analyses annotated genome data by applying a very central data-mining technique known as Association Rule Mining (ARM) with the aim of discovering rules and hypotheses capable of yielding deeper insights into this type of data. In the literature, ARM has been noted for producing an overwhelming number of rules. This work proposes a new technique capable of using domain knowledge in the form of queries in order to efficiently mine only the subset of the associations that are of interest to investigators in an incremental and interactive manner.
Details
- Title: Subtitle
- CARIBIAM: Constrained Association Rules using Interactive Biological IncrementAl Mining
- Creators
- Imad Rahal - 1 Computer Science Department, College of St. Benedict and St. John's University, Collegeville, 56321 MN, USARiad Rahhal - 2 Paediatrics Department, University of Iowa, Iowa City, 52242 IA, USABaoying Wang - 3 Department of Mathematics/Computer Science, Waynesburg University, Waynesburg, 15370 PA, USAWilliam Perrizo - 4 Computer Science and Operations Research Department, North Dakota State University, Fargo, 58105 ND, USA
- Resource Type
- Journal article
- Publication Details
- International journal of bioinformatics research and applications, Vol.4(1), pp.28-48
- Publisher
- Inderscience Publishers
- DOI
- 10.1504/IJBRA.2008.017162
- PMID
- 18283027
- ISSN
- 1744-5485
- eISSN
- 1744-5493
- Language
- English
- Date published
- 01/01/2008
- Academic Unit
- Stead Family Department of Pediatrics; Gastroenterology, Hepatology, Pancreatology, and Nutrition
- Record Identifier
- 9984093216402771
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