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.: --
Marketing professionals employ data mining to find out more about the buying patterns of their customers.
They use data-mining technology to determine whether there are new trends developing.
This review provides a discussion of and pointers to efficient algorithms for the common data mining tasks in a mathematical framework.
While the term ' data mining' is relatively recent, techniques for identifying patterns in data are much older.
On the positive side, data mining and machine learning can be used to generalise news reports, and thereby generate knowledge for coherence systems.
We are exploring the use of fuzzy data mining and concepts introduced by the semantic web to operate in synergy to perform distributed intrusion detection.
The majority of the data mining literature concentrates on the discovery of accurate and comprehensible patterns.
As her research progressed, she used more complex case representations, reasoning and learning strategies, and data mining techniques for pattern recognition.
The range of applications spans from numerical programming, symbolic computing, computer vision, to telephony and data mining.
In data mining and machine learning communities, several classification algorithms have been proposed, where most of these produce classifiers with an acceptable error rate.
