Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues

18 Pages Posted: 23 Feb 2016

See all articles by Galit Shmueli

Galit Shmueli

Institute of Service Science, National Tsing Hua University, Taiwan

Date Written: February 9, 2016

Abstract

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. The paper 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.

Keywords: big data, human behavior, data mining, statistical methods

Suggested Citation

Shmueli, Galit, Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues (February 9, 2016). Available at SSRN: https://ssrn.com/abstract=2736189 or http://dx.doi.org/10.2139/ssrn.2736189

Galit Shmueli (Contact Author)

Institute of Service Science, National Tsing Hua University, Taiwan ( email )

Hsinchu, 30013
Taiwan

HOME PAGE: http://www.iss.nthu.edu.tw

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