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Abstract: Studied principles and methods for mining relational data, data ware houses, andcomplex types of data. Data collected in the banking and financial industries are often relativelycomplete, reliable, and of high quality, which facilitates systematic data analysis and datamining. The quantity of data collected continues to expand rapidly, especially due to theincreasing ease, availability, and popularity of business conducted on the Web, or e-commerce. The integration of telecommunication, computer network, internet, and numerous other meansof communication and computing is also underway. Biological data mining has become anessential part of new research field called bioinformatics. Scientific applications are shifting from the “hypothesize-and-test” paradigm toward a “collected and store data, mine for newhypotheses, confirm with data or experimentation” process. Misuse detection searches forpatterns of program or user behavior that match know intrusion scenarios, which are stored assignatures.