Pattern Discovery in Mixed Data Using Large Database
With the great progress of microelectronics and other relating information technologies, together with the still broadening applications of computers in a vast range of businesses and industries, large databases containing mixed-mode data are becoming quite commonplace. Today, large databases contain various modes of collected data related to different components of a complex real world system. Their use is not necessarily confined to classifications. Many of them may not have clearly-defined class labels or even any explicit class information at all. Indeed, there are many different reasons to determine or discover all patterns, to achieve any comprehensive analysis and understanding of the information within the data spaces.