Automatic Selection of Analytic Platforms for Data Mining

This book introduces a novel approach to solve the problem of selecting the most appropriate analytic platform automatically for executing the needed data mining algorithm. The selection process depends on a hypothesis which is executing a data mining algorithm on similar datasets using the same analytic platform yields comparable performance. Depending on a previously conducted benchmark the selection process compares the performance of different analytic platforms and selects the one with the best performance according to a user-defined criterion e.g. runtime of the data mining algorithm.