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Engineering - Computational Intelligence and Complexity | Discrimination and Privacy in the Information Society - Data Mining and Profiling in Large Databases

Discrimination and Privacy in the Information Society

Data Mining and Profiling in Large Databases

Custers, B., Calders, T., Schermer, B., Zarsky, T. (Eds.)

2013, XVIII, 370 p.

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  • Latest technological developments in data mining and profiling
  • Interesting for information scientists as well as for law, ethics, sociology, politics and public administration, and other people who may be confronted with large amounts of information in their work
  • Written by leading experts in the field

Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in  making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of  discrimination.

Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection.

This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technological and regulatory solutions, to problems which arise in these innovative contexts. The book explains that common measures for mitigating privacy and discrimination, such as access controls and anonymity, fail to properly resolve privacy and discrimination concerns. Therefore, new solutions, focusing on technology design, transparency and accountability are called for and set forth.

 

Content Level » Research

Keywords » Anonymity - Classfication - Criminal law - Data mining - Database - Discrimination - Information security - Masking - Privacy - Profiling - Transparency

Related subjects » Applied Ethics & Social Responsibility - Computational Intelligence and Complexity - Criminal Law and Criminology - Database Management & Information Retrieval

Table of contents 

Part I Opportunities of Data Mining and Profiling.- Part II Possible Discrimination and Privacy Issues.- Part III Practical Applications.- Part IV Solutions in Code.- Part V Solutions in Law, Norms and the Market.

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