0 the process of using special software to look at large amounts of computer data in order to find out useful information, for example what types of product a company's customers buy
1 the examination of large amounts of information stored in a computer in order to look for patterns, changes, etc.:
They use data-mining technology to determine whether there are new trends developing.
Marketing professionals employ data mining to find out more about the buying patterns of their customers.
Numerous tools suitable for data mining in biology are available, yet the selection of an appropriate tool is non-trivial.
So the important question is, how can we measure the effectiveness of classification results in data mining?
His research interests include machine learning, genetic algorithms, data mining, and network security.
In the following, we illustrate the potential of sparse grids for problems of a higher dimensionality in the context of numerical quadrature and data mining.
However, the rules generated by the data mining methods are rarely used to provide greater insight into the original problem domain.
Subjective techniques generally operate by comparing the beliefs of a user against the patterns discovered by the data mining algorithm.
These goals can be achieved by using various general data mining methods, which are described below.
In data mining and machine learning communities, several classification algorithms have been proposed, where most of these produce classifiers with an acceptable error rate.