Data Mining is an idea based on a simple analogy. The growth of data warehousing has created Mountains of data. The mountains represent a valuable resource to the enterprise. But to extract Value from these data mountains, we must "mine" for high-grade "nuggets" of precious metal --the gold in data warehouses and data marts. The analogy to mining has proven seductive for Business. Everywhere there are data warehouses, data mines are also being enthusiastically Constructed, but not with the benefit of consensus about what data mining is, or what process It entails, or what exactly its outcomes (the "nuggets") are, or what tools one needs to do it right. This Paper Examines How Data mining is helping to address a strong need of pharmaceutical companies today: speeding up the process of new drug development. Considering that these companies spend about Rs 100.0 million and take ten years to develop a new medicine, complete the clinical trials, and introduce it in the market, time saved during this process not only reduces time-to-market but can also translate into substantial savings. Commonly used data clustering algorithms have been reviewed here and as a result several interesting results have been gathered.

1. Jain, A.K., Murty M.N., and Flynn P.J. (1999): Data Clustering: A Review.
2. “CURE: an efficient clustering algorithm for large databases" Guha S., Rastogi R., Shim K. ACM SIGMOD Record 27(2): 73- 84, 1998.
3. Survey of Clustering Data Mining Techniques. Pavel Berkhin. Accrue Software, Inc.
4. Feelders, A., Daniels, H. and Holsheimer, M. (2000) ‘Methodological and Practical Aspects of Data Mining’, Information and Management, pp. 271–281.
5. Roy Levy (1999) ‘Pharmaceutical Industry: A discussion of legislative and Anti trust issues in an environment of Change’, Federal trade commission report.
6. Sheng, O.R. Liu (2000) ‘Decision support for healthcare in a new Information age’, Decision Support Systems, 30, pp101- 103.
7. Smith Kate and Gupta Jatinder. (2002) Neural Networks in Business: Techniques and Applications, IGI Publishing.
8. Zuckerman and Alan, M. (2006) ‘Healthcare Strategic Planning’, Prentice Hall of India.
9. CLUTO, 2003. “CLUTO version 2.1.1, Software Package for Clustering High-Dimensional Datasets”

Data Mining Drugs Clustering ANN