Automatic Selection of Analytic Platforms with ASAP-DM

M. Fritz, Gang Shao, H. Schwarz
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Abstract

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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基于asp - dm的分析平台自动选择
过多的可用分析平台增加了为特定数据挖掘任务和具有不同特征的数据集选择最合适平台的难度。特别是新手分析师在跟上最新技术发展方面遇到了困难。在这个演示中,我们展示了asp - dm框架。asp - dm能够通过直观的web界面为给定的数据挖掘任务自动选择性能良好的分析平台,因此特别支持新手分析人员。演示参与者的收获是:(1)对各种数据挖掘工作负载的挑战,数据集特征以及对分析平台选择的影响有很好的理解,(2)对ASAP-DM内部工作方式的有用见解,以及(3)如何从ASAP-DM中受益探索性数据分析。
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