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Finding Relationship Between Mycobacterium tuberculosis and Mycobacterium leprae Using Association Rule Mining

M. Venkatesh Saravanakuma*, K. Sivanthi**, M. Sathya Prabha***

*-**-*** Department of Computer Applications, Ayya Nadar Janaki Ammal College, Sivakasi.

Periodicity:March - May'2012
DOI : https://doi.org/10.26634/jit.1.2.1781

Abstract

Data mining has been recognized as a new area for database research. In the area of knowledge discovery, association rule mining focuses on finding a set of all subsets of items, that frequently occur in database records and then extracting the interesting patterns found among them. Recent advancement in biotechnology has produced a massive amount of raw biological data which are accumulating at an exponential rate. Tuberculosis remains one of the leading causes of morbidity and mortality of mankind throughout the world. Mammalian cell entry (mce) gene is crucial in conferring virulence to Mycobacterium tuberculosis. This paper focuses on finding association between Mycobacterium tuberculosis and Mycobacterium leprae based on presence of mammalian cell entry gene. This gives useful insight for microbiologists in identifying and clustering the organisms.

Keywords

Datamining, Association rule mining, Mammalian cell entry gene

How to Cite this Article?

Saravanakumar, V. M., Sivanthi. K., and Prabha, S. M. (2012). Finding Relationship Between Mycobacterium Tuberculosis And Mycobacterium Leprae Using Association Rule Mining. i-manager’s Journal on Information Technology, 1(2), 5-10. https://doi.org/10.26634/jit.1.2.1781

References

[1]. Jiawei, H., & Micheline, K. (2001). Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, Champaign.

[2]. Papadimitriou, Sun J., & Faloutsos, C. (2005). Streaming Pattern Discovery in Multiple Time-Series, Proceedings of the 31st VLDB Conference, 697-708.

[3]. Cheung, D.W., Han, J., Ng, V.T., and Wong, C.Y. (1996). Maintenance of discovered association rules in large databases: An incremental updating approach. The Twelfth IEEE International Conference on Data Engineering, 106-114.

[4]. Van Beers, S.M., de Wit, M.Y., & Klatser, P.R. (1996). The epidemiology of Mycobacterium leprae: recent insight. FEMS Microbiol Lett, 136, 221-30.

[5]. Chitale, S., Ehrt, S., Kawamura, I., Fujimura, T., Shimono, N., & Anand, N. (2001). Recombinant Mycobacterium tuberculosis protein associated with mammalian cell entry, 247-54.

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