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Analyzing Behavioral Big Data: Methodological, practical, ethical, and moral issues
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Analyzing Behavioral Big Data: Methodological, practical, ethical, and moral issues

Galit Shmueli
Quality Engineering, 卷.29(1), 頁碼.57-74
01/2017

摘要

big data data mining human behavior social interactions statistical methods Safety Risk Reliability and Quality Industrial and Manufacturing Engineering
The term “big data” evokes emotions ranging from excitement to exasperation in the statistics community. Looking beyond these emotions reveals several important changes that affect us as statisticians and as humans. I focus on Behavioral Big Data (BBD), or very large and rich multidimensional datasets on human behaviors, actions, and interactions, which have become available to companies, governments, and researchers. This article describes the BBD landscape and examines opportunities and critical issues that arise when applying statistical and data mining approaches to Behavioral Big Data, including the move from macro- to micro-decisioning and its implications.

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