Knowledge discovery is a concept of the field of computer science that describes the process of automatically searching large volumes of data for patterns that can be considered knowledge about the data [1].
Knowledge Discovery Nuggets
KDnuggets is the Net's most comprehensive KD/Data Mining site. You'll find a wealth of information ranging from jobs in the field to recent publications.
Protecting the Warehouse ...
Knowledge Discovery in Databases. A synonym for data mining.
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Decision Support ...
Knowledge Discovery in Databases: Tools and Techniques. By Peggy Wright. Crossroads. 1998. "The purpose of this paper is to present the results of a literature survey outlining the state-of-the-art in KDD techniques and tools.
Ron Kohavi: In Knowledge Discovery, machine learning is most commonly used to mean the application of induction algorithms, which is one step in the knowledge discovery process.
In general, knowledge discovery in databases is a promising area for the SOM. We see a very promising future in biochemistry. There are masses of chemical data on the Internet, but nobody has been able to use them fully.
A new chapter on Data Mining and Knowledge Discovery, which introduces data mining as an integral part of knowledge discovery in large databases and considers main techniques and tools for turning data into knowledge.
Market basket analysis is a tool of knowledge discovery about co-occurrence of nominal or categorical items. Market Basket Transaction or Market Basket Analysis is a data mining technique to derive association between two data sets.
Rule induction is one of the major forms of data mining and is perhaps the most common form of knowledge discovery in unsupervised learning systems.
The data mining process,
The knowledge discovery process,
Business process management (BPM) programs,
Knowledge management systems, and
Business ecosystems management processes.
The Data Mining Process ...
data mining
Knowledge extraction mechanism devoted to knowledge discovery in data bases. Some classical applications are: bio-informatics, intruder detection in network.
[close the glossary] ...
Edelstein, H., A. (1999). Introduction to data mining and knowledge discovery (3rd ed). Potomac, MD: Two Crows Corp.
Edgeworth, F. Y. (1885). Methods of statistics. In Jubilee Volume, Royal Statistical Society, 181-217.
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey. Data Mining and Knowledge Discovery 2:345-389; 1998.
Quinlan, Rivest. Inferring Decision Trees Using the Minimum Description Length Principle.
Data mining forms part of the overall process of 'Knowledge Discovery in Databases.
 See also: Knowledge, Data mining, Artificial intelligence, Machine learning, Neural network
  
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