Download or read book Discrimination and Classification written by David J. Hand and published by . This book was released on 1981-11-04 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distribution-free methods; Parameterized distributions; Linear discriminant functions; Discrete variables; Variable selection; Cluster analysis; Miscellaneous topics.
Download or read book Discrimination and Privacy in the Information Society written by Bart Custers and published by Springer Science & Business Media. This book was released on 2012-08-11 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Discrimination and Classification written by David J. Hand and published by . This book was released on 1981-11-04 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distribution-free methods; Parameterized distributions; Linear discriminant functions; Discrete variables; Variable selection; Cluster analysis; Miscellaneous topics.
Download or read book Multivariate Statistical Analysis written by Parimal Mukhopadhyay and published by World Scientific. This book was released on 2009 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This textbook presents a classical approach to some techniques of multivariate analysis in a simple and transparent manner. It offers clear and concise development of the concepts; interpretation of the output of the analysis; and criteria for selection of the methods, taking into account the strengths and weaknesses of each." "This book is ideal as an advanced textbook for graduate students in statistics and other disciplines like social, biological and physical sciences. It will also be of benefit to professional statisticians." --Book Jacket.
Download or read book Measuring Racial Discrimination written by National Research Council and published by National Academies Press. This book was released on 2004-07-24 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Image Analysis and Recognition written by Mohamed Kamel and published by Springer. This book was released on 2013-06-05 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book When Is Discrimination Wrong written by Deborah Hellman and published by Harvard University Press. This book was released on 2011-03-11 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Machine Learning and Knowledge Discovery in Databases written by Peter A. Flach and published by Springer. This book was released on 2012-08-15 with total page 867 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Communities in Action written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-04-27 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.
Download or read book Principles of Nonparametric Learning written by Laszlo Györfi and published by Springer. This book was released on 2014-05-04 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistical Data Analysis and Inference written by Y. Dodge and published by Elsevier. This book was released on 2014-05-23 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Social Epidemiology written by Lisa F. Berkman and published by Oxford University Press. This book was released on 2000-03-09 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows the important links between social conditions and health and begins to describe the processes through which these health inequalities may be generated. It reviews a range of methodologies that could be used by health researchers in this field and proposes innovative future research directions.
Download or read book Statistical Methods of Discrimination and Classification written by Sung C. Choi and published by Elsevier. This book was released on 2014-05-17 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Sorting Things Out written by Geoffrey C. Bowker and published by MIT Press. This book was released on 2000-08-25 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revealing and surprising look at how classification systems can shape both worldviews and social interactions. What do a seventeenth-century mortality table (whose causes of death include "fainted in a bath," "frighted," and "itch"); the identification of South Africans during apartheid as European, Asian, colored, or black; and the separation of machine- from hand-washables have in common? All are examples of classification—the scaffolding of information infrastructures. In Sorting Things Out, Geoffrey C. Bowker and Susan Leigh Star explore the role of categories and standards in shaping the modern world. In a clear and lively style, they investigate a variety of classification systems, including the International Classification of Diseases, the Nursing Interventions Classification, race classification under apartheid in South Africa, and the classification of viruses and of tuberculosis. The authors emphasize the role of invisibility in the process by which classification orders human interaction. They examine how categories are made and kept invisible, and how people can change this invisibility when necessary. They also explore systems of classification as part of the built information environment. Much as an urban historian would review highway permits and zoning decisions to tell a city's story, the authors review archives of classification design to understand how decisions have been made. Sorting Things Out has a moral agenda, for each standard and category valorizes some point of view and silences another. Standards and classifications produce advantage or suffering. Jobs are made and lost; some regions benefit at the expense of others. How these choices are made and how we think about that process are at the moral and political core of this work. The book is an important empirical source for understanding the building of information infrastructures.
Download or read book An Introduction to Multivariate Statistical Analysis written by T. W. Anderson and published by Wiley-Interscience. This book was released on 2003-07-25 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfected over three editions and more than forty years, this field- and classroom-tested reference: * Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. * Treats all the basic and important topics in multivariate statistics. * Adds two new chapters, along with a number of new sections. * Provides the most methodical, up-to-date information on MV statistics available.
Download or read book Pattern Recognition and Neural Networks written by Brian D. Ripley and published by Cambridge University Press. This book was released on 2007 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.
Download or read book Social Dominance written by Jim Sidanius and published by Cambridge University Press. This book was released on 2001-02-12 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on two questions: why do people from one social group oppress and discriminate against people from other groups? and why is this oppression so mind numbingly difficult to eliminate? The answers to these questions are framed using the conceptual framework of social dominance theory. Social dominance theory argues that the major forms of intergroup conflict, such as racism, classism and patriarchy, are all basically derived from the basic human predisposition to form and maintain hierarchical and group-based systems of social organization. In essence, social dominance theory presumes that, beneath major and sometimes profound difference between different human societies, there is also a basic grammar of social power shared by all societies in common. We use social dominance theory in an attempt to identify the elements of this grammar and to understand how these elements interact and reinforce each other to produce and maintain group-based social hierarchy.
