Automatic Selection of Analytic Platforms for Data Mining
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Osama Muazzen
Muazzen, OsamaOsama Muazzen is a software developer at Capgemini. He received his B.Sc. degree in Computer Engineering from Near East University, Cyprus in 2015. Thereafter, he studied Information Technology at the University of Stuttgart and received his M.Sc. degree in 2018.
Bibliographische Angaben
- Autor: Osama Muazzen
- 2019, 76 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 620029271X
- ISBN-13: 9786200292711
Sprache:
Englisch
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