Discrimination and privacy in the information society : data mining and profiling in large databases


Free download. Book file PDF easily for everyone and every device. You can download and read online Discrimination and privacy in the information society : data mining and profiling in large databases file PDF Book only if you are registered here. And also you can download or read online all Book PDF file that related with Discrimination and privacy in the information society : data mining and profiling in large databases book. Happy reading Discrimination and privacy in the information society : data mining and profiling in large databases Bookeveryone. Download file Free Book PDF Discrimination and privacy in the information society : data mining and profiling in large databases at Complete PDF Library. This Book have some digital formats such us :paperbook, ebook, kindle, epub, fb2 and another formats. Here is The CompletePDF Book Library. It's free to register here to get Book file PDF Discrimination and privacy in the information society : data mining and profiling in large databases Pocket Guide.
Product description

Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. 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.

The Ethics of Data - Personal Data & Privacy

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. Zarsky Eds. Beck, and F. Van Assche Eds. Mining Compressing Sequential Patterns. In: Statistical Analysis and Data Mining. Wiley Accepted; to appear, Finding Robust Itemsets Under Subsampling. Mining frequent itemsets in a stream. Quantifying explainable discrimination and removing illegal discrimination in automated decision making. Faisal Kamiran and Toon Calders. Data preprocessing techniques for classification without discrimination.

Data Mining and Profiling in Large Databases

In: Data Mining journal Vol. Toon Calders and Mykola Pechenizkiy. Introduction to the special section on educational data mining. All normalized anti-monotonic overlap graph measures are bounded. Toon Calders and Sicco Verwer. Mining conjunctive sequential patterns. In: Data Min. Mining frequent items in a stream using flexible windows.

In: Intell. Data Anal. Itemset frequency satisfiability: Complexity and axiomatization.

A comparative analysis of anti-discrimination and data protection legislations

In: Theor. The complexity of satisfying constraints on databases of transactions. In: Acta Inf. Toon Calders and Bart Goethals.

From data minimization to data minimummization

Non-derivable itemset mining. Toon Calders, Laks V. Lakshmanan, Raymond T. Ng, and Jan Paredaens. Expressive power of an algebra for data mining. In: ACM Trans. Database Syst. Toon Calders and Jan Paredaens. Axiomatization of frequent itemsets. Toon Calders, Raymond T. Ng, and Jef Wijsen. Searching for dependencies at multiple abstraction levels.


  • 1.1 Decision making and computer systems;
  • Oxford Reading Tree Traditional Tales: Level 9: East of the Sun, West of the Moon?
  • "A comparative analysis of anti-discrimination and data protection legislations" by Raphael Gellert.
  • Failure Modes and Mechanisms in Electronic Packages;
  • Drug Addiction - A Medical Dictionary, Bibliography, and Annotated Research Guide to Internet References.
  • dblp: Bart Custers;
  • Are You Smart Enough to Work at Google?: Trick Questions, Zen-like Riddles, Insanely Difficult Puzzles, and Other Devious Interviewing Techniques You Need to Know to Get a Job Anywhere in the New Economy;

Toon Calders and Bart H. In: Discrimination and Privacy in the Information Society. Home Contact us Help Free delivery worldwide. Free delivery worldwide. Bestselling Series. Harry Potter. Popular Features.

New Releases. Description 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.


  • A conference on computation, automation, and control.
  • Key Points;
  • Privacy and Information Technology;

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.

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
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
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
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
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
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
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
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
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

Related Discrimination and privacy in the information society : data mining and profiling in large databases



Copyright 2019 - All Right Reserved