Resumen
The capacity of digital data storage worldwide has doubled every nine months for at least a decade as of August 1, 2002. This increase in the speed of digital data storage is one of the reasons for the increasing importance and rapid growth in the field of data mining. The aggressive rate of growth of disk storage and the gap between Moore's Law and Storage Law growth trends represents a very interesting pattern in the state of technology evolution. Our ability to capture and store data has far outpaced our ability to process and utilize it. This growing challenge has produced a phenomenon we call the data tombs, or data stores that are effectively write-only. Data mining is defined as the identification of interesting structure in data. Structure designates patterns, statistical or predictive models of the data, and relationships among parts of the data. Each of these terms-patterns, models, and relationships has a concrete definition in the context of data mining. Data mining is primarily concerned with making it easy, convenient and practical to explore very large databases for organizations and users with lots of data but without years of training as data analysts.