DocumentCode :
2210951
Title :
Knowledge Discovery in Academic Drug Discovery Programs: Opportunities and Challenges
Author :
Huan, Jun
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Kansas, Lawrence, KS, USA
fYear :
2010
fDate :
13-17 Dec. 2010
Firstpage :
1218
Lastpage :
1218
Abstract :
In United State several universities and research institutes including the national health institute (NIH) recently started programs aiming for drug discovery. With the initiatives, huge volumes of data have been collected and shared with public free of charge. Those initiatives provide an unprecedented opportunity for data miner and machine learner to study knowledge discovery problems associated with drug design. In this tutorial, the presenter will review the knowledge discovery and management needs in the drug discovery process. Latest methodology development, primarily those from data mining, machine learning, and statistical learning will be discussed.
Keywords :
data mining; learning (artificial intelligence); pharmaceuticals; Academic Drug Discovery Programs; data mining; drug design; drug discovery process; knowledge discovery; machine learning; national health institute; statistical learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining (ICDM), 2010 IEEE 10th International Conference on
Conference_Location :
Sydney, NSW
ISSN :
1550-4786
Print_ISBN :
978-1-4244-9131-5
Electronic_ISBN :
1550-4786
Type :
conf
DOI :
10.1109/ICDM.2010.163
Filename :
5694112
Link To Document :
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