Statistical Data Analysis in the Era of Big Data,Chemie Ingenieur Technik

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Statistical Data Analysis in the Era of Big Data
Chemie Ingenieur Technik ( IF 1.5 ) Pub Date : 2020-05-15 , DOI: 10.1002/cite.202000024
Thomas Lengauer ₁

Affiliation

Big data is on everyone's lips and often raises emotions. On the one hand, the notion is a basis for much technological optimism, mostly directed towards new business models, or simplifications and optimizations in professional and private life. On the other hand, it is a basis for dystopic perspectives, which are targeted, e.g., at profiling of the individual and their privacy space, overarching optimization in daily life and intransparency of decision making. In this article, after a short historical prolog, it is discussed what distinguishes big data from traditional data analysis. The underlying mathematical methods are introduced and scientific successes are reported. Additionally, the risks and limits – especially regarding the derivation of causal relationships – of data analysis are discussed.

中文翻译：

大数据时代的统计数据分析

大数据摆在每个人的嘴上，经常引起人们的情绪。一方面，该概念是许多技术乐观主义者的基础，主要是针对新的商业模式，或对专业和私人生活的简化和优化。另一方面，它是功能障碍观点的基础，这些观点的目标是，例如，对个人及其隐私空间进行概要分析，对日常生活进行总体优化以及决策不透明。本文在简短的历史序幕之后，讨论了将大数据与传统数据分析区分开的地方。介绍了基本的数学方法，并报告了科学成功。此外，还讨论了数据分析的风险和限制，尤其是在因果关系的推导方面。

更新日期：2020-05-15

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