Abstract
In database, there has been a growing interest in efficient discovery, which is beyond the power of current dataprocessing functions, of interesting knowledge rule from huge database. The technology is called“data mining”.
In this paper, we introduce data mining with a view to discuss applications of artificial life theory for data mining. The mechanism and major physical parameters for the generation of red tide are investigated within the framework of statistical data mining. Data mining means to discover objectively knowledge hidden in vast amountof data, and by means of neural network, data of Tokyo bay are analyzed. It is found that the usefulness of this data mining procedure for non-structural system identification.
