Bibliograph. Daten | Fritz, Manuel; Shao, Gang; Schwarz, Holger: Automatic Selection of Analytic Platforms with ASAP-DM. In: Proceedings of the 33rd International Conference on Scientific and Statistical Database Management. Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik. S. 220-225, englisch. ACM, Juli 2021. ISBN: 9781450384131; DOI: 10.1145/3468791.3468802. Artikel in Tagungsband (Konferenz-Beitrag).
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CR-Klassif. | H.2.8 (Database Applications)
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Kurzfassung | The plethora of available analytic platforms escalates the difficulty of selecting the most appropriate platform for a certain data mining task and datasets with varying characteristics. Especially novice analysts experience difficulties to keep up with the latest technical developments. In this demo, we present the ASAP-DM framework. ASAP-DM is able to automatically select a well-performing analytic platform for a given data mining task via an intuitive web interface, thus especially supporting novice analysts. The take-aways for demo attendees are: (1) a good understanding of the challenges of various data mining workloads, dataset characteristics, and the effects on the selection of analytic platforms, (2) useful insights on how ASAP-DM internally works, and (3) how to benefit from ASAP-DM for exploratory data analysis.
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Abteilung(en) | Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
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Projekt(e) | INTERACT
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Eingabedatum | 12. August 2021 |
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