Automatic Selection of Analytic Platforms for Data Mining - Muazzen, Osama
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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.…mehr

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Produktbeschreibung
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.
Autorenporträt
Osama Muazzen é um programador de software na Capgemini. Licenciou-se em Engenharia Informática na Universidade do Próximo Oriente, Chipre, em 2015. Posteriormente, estudou Tecnologia da Informação na Universidade de Estugarda e obteve o seu M.Sc. em 2018.