Title
Design of Computational Grid-based Intelligence ART1 Classification System for Bioinformatics Applications
Abstract
Computational Grid technology has been noticed as an issue to solve large-scale bioinformatics-related problems and improves data accuracy and processing speed on multiple computation platforms with distributed bioDATA sets. This paper proposes a Gridbased intelligence ART1 classifier which operates an ART1 clustering classification using Grid computational resources with distributed GPCR data sets. This paper evaluates performance of the Gridbased ART1 classifier in comparing to the Grid-based ART1 classifier and the Grid-based 3-tier ART1 classifier. The number of communication message of the Grid-based intelligence ART1 classifier is less than the others classifier. And the classification processing time of the Grid-based intelligence ART1 classifier is 13% classification processing time of the Grid-based ART1 classifier and is 25% classification processing time of the Grid-based 3-tier ART1 classifier. Computational Grid in bioinformatics applications gives a great promise of high performance processing with large-scale and geographically distributed bioDATA sets and provides a good progress in guaranteeing high bioData accuracy with reasonable processing resources.
Year
DOI
Venue
2006
10.1109/GCCW.2006.35
GCC Workshops
Keywords
Field
DocType
art1 classifier,3-tier art1 classifier,biodata set,classification system,art1 clustering classification,classification processing time,computational grid,computational grid-based intelligence art1,reasonable processing resource,bioinformatics applications,processing speed,grid-based intelligence,high performance processing,grid computing
Data accuracy,Data mining,Data set,Grid computing,Computer science,Biodata,Bioinformatics,Classifier (linguistics),Cluster analysis,Grid,Computation
Conference
ISBN
Citations 
PageRank 
0-7695-2695-0
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Kyu Cheol Cho122.09
Yong Beom Ma2142.34
Jong Sik Lee37418.95