Cross-disciplinary research on how computer-assisted decision making can be supported by sophisticated data analysis techniques and recent developments in knowledge-based systems research are described in this volume, with emphasis on marketing applications. Aspects dealt with include market-share analysis (spreadsheet based), media planning, stochastic market modelling, marketing data analysis and new product introduction management (all knowledge-based, partly using PROLOG). These contributions emphasize links between decision support, expert knowledge research and marketing. Other application areas are debt and credit management and personnel disposition (KEE based), portfolio management (PROLOG based) and vehicle scheduling. Concrete interconnections between data analysis and marketing can be seen in the contributions on classification and unfolding of market data, market segmentation by forced classification, conjoint analysis applications, ideal point product mapping, MDS in telecommunications pricing and multi-mode marketing data evaluations.

With a new preface by the author, this reissue of Thomas Sowell's classic study of decision making updates his seminal work in the context of The Vision of the Annointed, Sowell, one of America's most celebrated public intellectuals, describes in concrete detail how knowledge is shared and disseminated throughout modern society. He warns that society suffers from an ever-widening gap between firsthand knowledge and decision making—a gap that threatens not only our economic and political efficiency, but our very freedom because actual knowledge gets replaced by assumptions based on an abstract and elitist social vision f what ought to be.Knowledge and Decisions, a winner of the 1980 Law and Economics Center Prize, was heralded as a ”landmark work” and selected for this prize ”because of its cogent contribution to our understanding of the differences between the market process and the process of government.” In announcing the award, the center acclaimed Sowell, whose ”contribution to our understanding of the process of regulation alone would make the book important, but in reemphasizing the diversity and efficiency that the market makes possible, [his] work goes deeper and becomes even more significant.”

For MIS specialists and non-specialists alike, this text is a comprehensive, readable, understandable guide to the concepts and applications of decision support systems.

Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.

Proceedings of the NATO Advanced Research Workshop on Data, Expert Knowledge and Decisions, held in Hamburg, FRG, September 3-5, 1989

The volume contains revised versions of papers presented at the 15th Annual Meeting of the "Gesellschaft f}r Klassifika- tion". Papers were arranged in the following three parts which were the main streams of discussion during the confe- rence: 1. Data Analysis, Classification 2. Data Modeling, Knowledge Processing, 3. Applications, Special Subjects. New results on developing mathematical and statistical methods allowing quantitative analysis of data are reported on. Tools for representing, modeling, storing and processing da- ta and knowledge are discussed. Applications in astro-phycics, archaelogy, biology, linguistics, and medicine are presented.

Technology and increasing levels of education have exposed people to more information than ever before. These societal gains, however, have also helped fuel a surge in narcissistic and misguided intellectual egalitarianism that has crippled informed debates on any number of issues. Today, everyone knows everything: with only a quick trip through WebMD or Wikipedia, average citizens believe themselves to be on an equal intellectual footing with doctors and diplomats. All voices, even the most ridiculous, demand to be taken with equal seriousness, and any claim to the contrary is dismissed as undemocratic elitism. Tom Nichols' The Death of Expertise shows how this rejection of experts has occurred: the openness of the internet, the emergence of a customer satisfaction model in higher education, and the transformation of the news industry into a 24-hour entertainment machine, among other reasons. Paradoxically, the increasingly democratic dissemination of information, rather than producing an educated public, has instead created an army of ill-informed and angry citizens who denounce intellectual achievement. When ordinary citizens believe that no one knows more than anyone else, democratic institutions themselves are in danger of falling either to populism or to technocracy or, in the worst case, a combination of both. An update to the 2017breakout hit, the paperback edition of The Death of Expertise provides a new foreword to cover the alarming exacerbation of these trends in the aftermath of Donald Trump's election. Judging from events on the ground since it first published, The Death of Expertise issues a warning about the stability and survival of modern democracy in the Information Age that is even more important today.

In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice.

This book will be bought by researchers and graduates students in Artificial Intelligence and management as well as practising managers and consultants interested in the application of IT and information systems in real business environment.

It is a great privilege and pleasure to write a foreword for a book honor ing Wolfgang Gaul on the occasion of his sixtieth birthday. Wolfgang Gaul is currently Professor of Business Administration and Management Science and the Head of the Institute of Decision Theory and Management Science, Faculty of Economics, University of Karlsruhe (TH), Germany. He is, by any measure, one of the most distinguished and eminent scholars in the world today. Wolfgang Gaul has been instrumental in numerous leading research initia tives and has achieved an unprecedented level of success in facilitating com munication among researchers in diverse disciplines from around the world. A particularly remarkable and unique aspect of his work is that he has been a leading scholar in such diverse areas of research as graph theory and net work models, reliability theory, stochastic optimization, operations research, probability theory, sampling theory, cluster analysis, scaling and multivariate data analysis. His activities have been directed not only at these and other theoretical topics, but also at applications of statistical and mathematical tools to a multitude of important problems in computer science (e.g., w- mining), business research (e.g., market segmentation), management science (e.g., decision support systems) and behavioral sciences (e.g., preference mea surement and data mining). All of his endeavors have been accomplished at the highest level of professional excellence.