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Reseach Article

Effective uses of Data Mining in Drugs for Decision Support

Published on August 2011 by Srinivas Murti, Gangadhara, Raghvendra Chinchansoor
journal_cover_thumbnail
National Technical Symposium on Advancements in Computing Technologies
Foundation of Computer Science USA
NTSACT - Number 3
August 2011
Authors: Srinivas Murti, Gangadhara, Raghvendra Chinchansoor
7485a168-b087-4712-a8fb-666728e7d3f1

Srinivas Murti, Gangadhara, Raghvendra Chinchansoor . Effective uses of Data Mining in Drugs for Decision Support. National Technical Symposium on Advancements in Computing Technologies. NTSACT, 3 (August 2011), 34-37.

@article{
author = { Srinivas Murti, Gangadhara, Raghvendra Chinchansoor },
title = { Effective uses of Data Mining in Drugs for Decision Support },
journal = { National Technical Symposium on Advancements in Computing Technologies },
issue_date = { August 2011 },
volume = { NTSACT },
number = { 3 },
month = { August },
year = { 2011 },
issn = 0975-8887,
pages = { 34-37 },
numpages = 4,
url = { /proceedings/ntsact/number3/3196-ntst017/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Technical Symposium on Advancements in Computing Technologies
%A Srinivas Murti
%A Gangadhara
%A Raghvendra Chinchansoor
%T Effective uses of Data Mining in Drugs for Decision Support
%J National Technical Symposium on Advancements in Computing Technologies
%@ 0975-8887
%V NTSACT
%N 3
%P 34-37
%D 2011
%I International Journal of Computer Applications
Abstract

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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Drugs Clustering ANN