Data Mining as a form of convergence

Data mining for unknown knowledge and new technologies is most promising reseach area.
Especially, it will be the key technology to open convergence era which is composed of several fundamental disciplines for the future common goal. Most of global issues can be solved not by single discipline but by convergence or fusion technologies.
Due to the flood of all kinds of information, data mining is prerequisite for gathering, processing, extracting and creating new and high level knowledge. Its application will do good in most of the future R&D.
Areas such as biology, genetics, and new material cannot be explored without data mining.
Even in distant autonomous recognizer of events (DARE) as a data mining and discovery tool says the same story as follows (Gor.Victoria, JPL).
Labor-intense and mathematically onerous computations are often necessary to analyze data and search for interesting events. One of such interesting phenomenon is the presence of a previously undiscovered celestial body in image data sets. Such a body is expected to be very small and hidden among the multitude of cosmic ray noise hits in large image databases. Discovering such bodies requires intensive mathematical computations on millions of cases of possible objects. We describe the automatic process DARE, which is capable of discovering new celestial bodies. This process has already been applied by scientists. DARE rapidly sifts through image sequences, looking for the temporal persistence of small segmented regions, tremendously speeding up examination of image data sets in search for new discoveries.