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