Data Mining and Profiling in Big Data

• Custers, B.H.M. (2018) Data Mining and Profiling in Big Data, in B.A. Arrigo (ed.) The SAGE Encyclopedia of Surveillance, Security, and Privacy, p. 277-279, Thousand Oaks: SAGE Publications, Inc.

Posted: 25 Jun 2018

See all articles by Bart Custers

Bart Custers

Leiden University - Center for Law and Digital Technologies

Date Written: May 22, 2018

Abstract

Data mining and profiling are technologies used for analyzing and interpreting large amounts of data (a set of facts) to obtain knowledge (patterns in the data that are interesting and certain enough for a user). In the information society, vast amounts of data are collected, stored, and processed by both public and private organizations. When dealing with large data sets, particularly in the context of big data, human intuition may be insufficient to obtain insight into or an overview of the data available.

Data mining and group profiling are considered separate technologies, even though they are often used together. Whereas the focus of data mining is on finding novel patterns and relations in data sets, the focus of profiling is on ascribing characteristics to individuals or groups of people. Profiling may be carried out without the use of data mining, and vice versa. In some cases, profiling may not involve (much) technology—for instance, when psychologically profiling a serial killer.

Suggested Citation

Custers, Bart, Data Mining and Profiling in Big Data (May 22, 2018). • Custers, B.H.M. (2018) Data Mining and Profiling in Big Data, in B.A. Arrigo (ed.) The SAGE Encyclopedia of Surveillance, Security, and Privacy, p. 277-279, Thousand Oaks: SAGE Publications, Inc.. Available at SSRN: https://ssrn.com/abstract=3183286

Bart Custers (Contact Author)

Leiden University - Center for Law and Digital Technologies ( email )

2300 RA Leiden, NL-2300RA
Netherlands

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