What is Data Mining?

The increasing use of computer technology in many areas of economic, scientific and social life is resulting in collections of digital data. These data pools could be used to obtain a higher quality of information than that obtained from simple database inquiries. This is where comes in. With Data Mining techniques, it is possible to "mine" data pools for "hidden" knowledge. You can automatically extract non-trivial connections in large data bases for diagnosis, prediction or elicitate new knowledge.

With conventional database systems, you can only search the database using user-definited search criteria and display the resulting information on the screen. With data mining techniques,you start one level higher, by attempting to pick out the common features of the data stocks automatically. This generalised knowledge can be used to compile customer profiles, for example, or to diagnose faults in process control systems, or to predict the course of illinesses in medical science.

Even if you don't work in any of the above mentioned areas, you may face problems of a similar nature. Data mining gives you a major competitive advantage in view of the key role played by knowledge management in the development of future markets. So why not join us on the route from simple data archiving to automatic knowledge extraction!

 

Advances in Data Mining
Springer Verlag
ISBN: 3-540-44116-6
Data Mining and Multimedia Data
Springer Verlag
ISBN: 3-540-00317-7
DecisionMaster
DecisionMaster
Logfile-Analysetool NetLog
Logfile-Analysetool NetLog