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Database management data mining

Chemoinformatics needs to be brought to the fore and combined with bioinformatics in order to accelerate the discovery of relationships between stmcture and biological activity, i.e. cross-database data mining. Tliese activities need, in view of the huge amounts of data, to include advanced visualization techniques for efficient knowledge management. [Pg.162]

Michael Cafarella is an assistant professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. His research interests include databases, information extraction, and data mining, and he is particularly interested in applying data mining techniques to data management problems encountered on the Web and in the natural social sciences. [Pg.145]

R. Agrawal, T. Imielinski and A. S wami, Mining association rules between sets of items in large databases, in Proceedings of the International Conference on Management of Data, ACM Press, New York, 1993. [Pg.220]

See other pages where Database management data mining is mentioned: [Pg.6]    [Pg.17]    [Pg.238]    [Pg.401]    [Pg.300]    [Pg.361]    [Pg.359]    [Pg.359]    [Pg.361]    [Pg.53]    [Pg.271]    [Pg.308]    [Pg.285]    [Pg.549]    [Pg.9]    [Pg.30]    [Pg.24]    [Pg.548]    [Pg.486]    [Pg.179]    [Pg.671]    [Pg.692]    [Pg.206]    [Pg.162]    [Pg.89]    [Pg.120]    [Pg.284]    [Pg.417]    [Pg.109]    [Pg.181]    [Pg.21]    [Pg.28]    [Pg.111]    [Pg.175]    [Pg.206]    [Pg.417]    [Pg.2859]    [Pg.159]    [Pg.340]    [Pg.290]    [Pg.300]    [Pg.17]    [Pg.159]    [Pg.4]    [Pg.141]   
See also in sourсe #XX -- [ Pg.671 ]



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