Name
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 focuses on a GPCR data mining processing which is an important bioinformatics application. This paper proposes a Grid-based 3-tier ART1 classifier which operates an ART1 clustering data mining using grid computational resources with distributed GPCR data sets. This Grid-based 3-tier ART1 classifier is able to process a large-scale bioinformatics application in guaranteeing high bioDATA accuracy with reasonable processing resources. This paper evaluates performance of the Grid-based ART1 classifier in comparing to the ART1-based classifier and the ART1 optimum classifier. The data mining processing time of the Grid-based ART1 classifier is 18% data mining processing time of the ART1 optimum classifier and is the 12% data mining processing time of the ART1-based classifier. And we evaluate performance of the Grid-based 3-tier ART1 classifier in comparing to the Grid-based ART1 classifier. As data sets become larger, data mining processing time of the Grid-based 3-tier ART1 classifier more decrease than that of the Grid-based ART1 classifier. Computational Grid in bioinformatics applications gives a great promise of high performance processing with large-scale and geographically distributed bioDATA sets. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11881599_60 | FSKD |
Keywords | Field | DocType |
gpcr data set,art1 classifier,biodata set,3-tier art1 classifier,data accuracy,3-tier art1 data mining,gpcr data mining processing,art1 optimum classifier,data mining processing time,art1 clustering data mining,bioinformatics application,art1-based classifier,data mining,grid computing | Data mining,Data set,Data processing,Grid computing,Computer science,Artificial intelligence,Cluster analysis,Classifier (linguistics),Information extraction,Knowledge extraction,Bioinformatics,Machine learning,Grid | Conference |
Volume | ISSN | ISBN |
4223 | 0302-9743 | 3-540-45916-2 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyu Cheol Cho | 1 | 2 | 2.09 |
| Da Hye Park | 2 | 2 | 1.05 |
| Jong Sik Lee | 3 | 74 | 18.95 |