SPEC研究-介绍预测数据分析工作组:海报纸

A. Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor A. Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi
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引用次数: 1

摘要

随着收集和可用数据的增加,数据分析的研究领域得到了显著的发展。因此,已经提出了大量的工具、度量和最佳实践来理解这大量的数据。为此,需要进行基准测试和标准化,以便更好地理解所提出的方法并不断改进它们。为此目的,存在着许多协会和委员会。其中之一是SPEC(标准绩效评估公司),这是一家非营利公司,负责绩效和能源评估的标准化和基准。本文概述了最近成立的SPEC RG预测数据分析工作组。该组织的使命是通过为数据分析的各个方面的标准化和基准测试做出贡献,促进工业界和学术界之间的互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper
The research field of data analytics has grown significantly with the increase of gathered and available data. Accordingly, a large number of tools, metrics, and best practices have been proposed to make sense of this vast amount of data. To this end, benchmarking and standardization are needed to understand the proposed approaches better and continuously improve them. For this purpose, numerous associations and committees exist. One of them is SPEC (Standard Performance Evaluation Corporation), a non-profit corporation for the standardization and benchmarking of performance and energy evaluations. This paper gives an overview of the recently established SPEC RG Predictive Data Analytics Working Group. The mission of this group is to foster interaction between industry and academia by contributing research to the standardization and benchmarking of various aspects of data analytics.
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