Mining protein data using parallel/distributed association rules

Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004

Volumn , Issue , 2004, Pages 461-462

  Bahamish, Hesyam Awadh Abdallah ^a   Salam, Rosalina Abdul ^a   Abdullah, Rosni ^a   Osman, Mohd Azam ^a   Rashid, Nuraini Abdul ^a  

^a SCHOOL OF PHYSICS   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; INFORMATION RETRIEVAL; PARALLEL ALGORITHMS; PERFORMANCE; PROBLEM SOLVING; PROTEINS;

BIOINFORMATICS; BIOLOGICAL IMPLICATIONS; DATABASE COMMUNITY;

DATA MINING;

EID: 2942691640     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Luscombe N.,M.,Greebaum, D., Gerstein M.,(2001) What is bioinformatics? A proposed definition and overview of the field. Department of Molecular Biophysics and Biochemistry, Yale University, USA
2. Goebel, M. & Gruenwald, L. (1999). A survey of Data Mining and Knowledge Discovery Software Tools, SIGKDD Exploration, ACM SIGKDD, (1)1, pp. 20-33.
3. Kotala P., Perera A., Kai Zhaou J., Mudivarthy S., Perrizo W. & Deckard E. (2001). Gene Expression Profiling of DNA Microarray Data using Peano Count Trees (P-trees), http://midas-10.cs. ndsu.nodak.edu/bio/papers/.
4. Dunham, M., Xiao, Y., Gruenwald, L & Hossain, Z. (2000). A Survey of Association Rules, http://engr.smu.edu/~mhd/pubs.html.