Traditional marketing research involves developing a hypothesis about a driver and then collecting data. How does data mining differ?

a. Data mining manipulates the driver and then collects data on the results of the manipulation.
b. Data mining collects a sampling of previous research in order to predict future sales.
c. Data mining develops hypotheses about a number of drivers and then collects data.
d. Data mining extracts hidden predictive information from large databases.