This is just a special case of how data mining has been used for decades.

Q. Why do you believe that data mining has become more effective, over all, in the last two or three years?

Different from traditional machine learning approaches, an approach based on data mining has been recently proposed.

The information obtained from data mining is hopefully both new and useful.

Data mining is about finding new information in a lot of data.

Much of the recent work on data mining has been aimed at even more sophisticated applications.

Decision trees used in data mining are of two main types:

Data mining is finding new uses for old drugs.

Data mining is a highly effective tool in the catalog marketing industry.

The term "Data Mining" appeared around 1990 in the database community.

Data mining in agriculture is a very recent research topic.

But that would take years of data mining to dig out, even if we could restore the power.

A. You can use data mining to look for the patterns of which voters are most likely to respond to a particular message or platform.

Some people believe that data mining itself is ethically neutral.

Data mining techniques can be used to analyze different types of social networks.

Data mining in customer relationship management applications can contribute significantly to the bottom line.

Data mining deals with the extraction of knowledge from large databases.

Data mining for business applications is a component that needs to be integrated into a complex modeling and decision making process.

Data mining capabilities allow special requests from top management to be handled quantitatively.

This suggests that authors may be data mining for measures and analytic strategies which yield the results they want.