Brusic, Zeleznikow Knowledge Discovery and Data Mining.
Biological databases continue to grow rapidly.
This growth is reflected in increases in both size and complexity of individual databases as well as in the proliferation of new databases. A huge body of data is thus available for the extraction of high level information including the development of new concepts, concept interrelationships and interesting patterns hidden in the databases. At the core of KDD is Data Mining - the application of specific tools for pattern discovery and extraction. KDD process comprises several data pre-processing steps as well as data mining and knowledge interpretation steps. Studies of biological data involve access to multiple databases using a variety of query tools.