A procedure to find correlations among data that is not obvious.
Data Mining is the answer to the information overflow.
Examples:
Analyzing the sales behavior in supermarkets, one found out that beer and
diapers are sold over proportional before week ends. The wife sends the
husband to buy diapers, he buys beer do something good for himself.
Display the assay results of compounds in a visualization software like
miner3D
and find out which is the best drug candidate.
Use clustering techniques as
we use them in application with PASS parameters to march biological profiles
of compounds with known activities, and compounds with unknown activities.