Discrimination and Privacy in the Information Society
Discrimination and Privacy in the Information Society

Author: Bart Custers

Publisher: Springer Science & Business Media

Published: 2012-08-11

Total Pages: 370

ISBN-13: 3642304877

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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.

Discrimination and Classification
Discrimination and Classification

Author: David J. Hand

Publisher:

Published: 1981-11-04

Total Pages: 240

ISBN-13:

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Distribution-free methods; Parameterized distributions; Linear discriminant functions; Discrete variables; Variable selection; Cluster analysis; Miscellaneous topics.

Measuring Racial Discrimination
Measuring Racial Discrimination

Author: National Research Council

Publisher: National Academies Press

Published: 2004-07-24

Total Pages: 335

ISBN-13: 0309091268

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Many racial and ethnic groups in the United States, including blacks, Hispanics, Asians, American Indians, and others, have historically faced severe discriminationâ€"pervasive and open denial of civil, social, political, educational, and economic opportunities. Today, large differences among racial and ethnic groups continue to exist in employment, income and wealth, housing, education, criminal justice, health, and other areas. While many factors may contribute to such differences, their size and extent suggest that various forms of discriminatory treatment persist in U.S. society and serve to undercut the achievement of equal opportunity. Measuring Racial Discrimination considers the definition of race and racial discrimination, reviews the existing techniques used to measure racial discrimination, and identifies new tools and areas for future research. The book conducts a thorough evaluation of current methodologies for a wide range of circumstances in which racial discrimination may occur, and makes recommendations on how to better assess the presence and effects of discrimination.

Image Analysis and Recognition
Image Analysis and Recognition

Author: Mohamed Kamel

Publisher: Springer

Published: 2013-06-05

Total Pages: 828

ISBN-13: 3642390943

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This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Image Analysis and Recognition, ICIAR 2013, held in Póvoa do Varzim, Portugal, in June 2013, The 92 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in topical sections on biometrics: behavioral; biometrics: physiological; classification and regression; object recognition; image processing and analysis: representations and models, compression, enhancement , feature detection and segmentation; 3D image analysis; tracking; medical imaging: image segmentation, image registration, image analysis, coronary image analysis, retinal image analysis, computer aided diagnosis, brain image analysis; cell image analysis; RGB-D camera applications; methods of moments; applications.

When Is Discrimination Wrong?
When Is Discrimination Wrong?

Author: Deborah Hellman

Publisher: Harvard University Press

Published: 2011-03-11

Total Pages: 217

ISBN-13: 0674060296

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A law requires black bus passengers to sit in the back of the bus. The U.S. Food and Drug Administration approves a drug for use by black heart failure patients. A state refuses to license drivers under age 16. A company avoids hiring women between the ages of 20 and 40. We routinely draw distinctions among people on the basis of characteristics that they possess or lack. While some distinctions are benign, many are morally troubling. In this boldly conceived book, Deborah Hellman develops a much-needed general theory of discrimination. She demonstrates that many familiar ideas about when discrimination is wrongÑwhen it is motivated by prejudice, grounded in stereotypes, or simply departs from merit-based decision-makingÑwonÕt adequately explain our widely shared intuitions. Hellman argues that, in the end, distinguishing among people on the basis of traits is wrong when it demeans any of the people affected. She deftly explores the question of how we determine what is in fact demeaning. Claims of wrongful discrimination are among the most common moral claims asserted in public and private life. Yet the roots of these claims are often left unanalyzed. When Is Discrimination Wrong? explores what it means to treat people as equals and thus takes up a central problem of democracy.

Statistical Data Analysis and Inference
Statistical Data Analysis and Inference

Author: Y. Dodge

Publisher: Elsevier

Published: 2014-05-23

Total Pages: 630

ISBN-13: 1483296113

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A wide range of topics and perspectives in the field of statistics are brought together in this volume. The contributions originate from invited papers presented at an international conference which was held in honour of C. Radhakrishna Rao, one of the most eminent statisticians of our time and a distinguished scientist.

Statistical Methods of Discrimination and Classification
Statistical Methods of Discrimination and Classification

Author: Sung C. Choi

Publisher: Elsevier

Published: 2014-05-17

Total Pages: 145

ISBN-13: 1483190986

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Statistical Methods of Discrimination and Classification: Advances in Theory and Applications is a collection of papers that tackles the multivariate problems of discriminating and classifying subjects into exclusive population. The book presents 13 papers that cover that advancement in the statistical procedure of discriminating and classifying. The studies in the text primarily focus on various methods of discriminating and classifying variables, such as multiple discriminant analysis in the presence of mixed continuous and categorical data; choice of the smoothing parameter and efficiency of k-nearest neighbor classification; and assessing the performance of an allocation rule. The book will be of great use to researchers and practitioners of wide array of scientific disciplines, including engineering, psychology, biology, and physics.

Machine Learning and Knowledge Discovery in Databases
Machine Learning and Knowledge Discovery in Databases

Author: Peter A. Flach

Publisher: Springer

Published: 2012-08-15

Total Pages: 867

ISBN-13: 9783642334856

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This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.

Principles of Nonparametric Learning
Principles of Nonparametric Learning

Author: Laszlo Györfi

Publisher: Springer

Published: 2014-05-04

Total Pages: 344

ISBN-13: 3709125685

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This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming.

Discriminant Analysis
Discriminant Analysis

Author: William R. Klecka

Publisher: SAGE

Published: 1980-08

Total Pages: 76

ISBN-13: 9780803914919

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Background. Deriving the canonical discriminant functions. Interpreting the canonical discriminant functions. Classification procedures. Stepwise inclusion of variables. Concluding remarks.