Data, Expert Knowledge and Decisions

Data, Expert Knowledge and Decisions

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  • Author: Wolfgang A. Gaul
  • Publisher: Springer Science & Business Media
  • ISBN: 3642734898
  • Category : Business & Economics
  • Languages : en
  • Pages : 379

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.


Decision Support Systems

Decision Support Systems

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  • Author: Daniel Power
  • Publisher: Praeger
  • ISBN: 156720497X
  • Category : Business & Economics
  • Languages : en
  • Pages : 0

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


Knowledge-Based Decision Support Systems With Applications in Business

Knowledge-Based Decision Support Systems With Applications in Business

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  • Author: Michel Klein
  • Publisher:
  • ISBN:
  • Category : Business & Economics
  • Languages : en
  • Pages : 554

This book uniquely integrates expert system technology with decision support technology and introduces a new conceptual framework - knowledge-based decision support systems. The book provides comprehensive, knowledge-based decision support systems for a business-oriented audience.


Knowledge, Data and Computer-Assisted Decisions

Knowledge, Data and Computer-Assisted Decisions

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  • Author: Martin Schader
  • Publisher: Springer Science & Business Media
  • ISBN: 3642842186
  • Category : Computers
  • Languages : en
  • Pages : 418

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


Analyzing and Modeling Data and Knowledge

Analyzing and Modeling Data and Knowledge

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  • Author: Martin Schader
  • Publisher: Springer Science & Business Media
  • ISBN: 3642467571
  • Category : Mathematics
  • Languages : en
  • Pages : 337

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.


Street Data

Street Data

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  • Author: Shane Safir
  • Publisher: Corwin
  • ISBN: 1071812661
  • Category : Education
  • Languages : en
  • Pages : 281

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.


Classification, Data Analysis, and Knowledge Organization

Classification, Data Analysis, and Knowledge Organization

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  • Author: Hans-Hermann Bock
  • Publisher: Springer Science & Business Media
  • ISBN: 3642763073
  • Category : Business & Economics
  • Languages : en
  • Pages : 404

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.


Data Analysis and Decision Support

Data Analysis and Decision Support

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  • Author: Daniel Baier
  • Publisher: Springer Science & Business Media
  • ISBN: 3540283978
  • Category : Mathematics
  • Languages : en
  • Pages : 361

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.


Too Big to Know

Too Big to Know

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  • Author: David Weinberger
  • Publisher: Basic Books
  • ISBN: 0465038727
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 258

"If anyone knows anything about the web, where it's been and where it's going, it's David Weinberger. . . . Too Big To Know is an optimistic, if not somewhat cautionary tale, of the information explosion." -- Steven Rosenbaum, Forbes With the advent of the Internet and the limitless information it contains, we're less sure about what we know, who knows what, or even what it means to know at all. And yet, human knowledge has recently grown in previously unimaginable ways and in inconceivable directions. In Too Big to Know, David Weinberger explains that, rather than a systemic collapse, the Internet era represents a fundamental change in the methods we have for understanding the world around us. With examples from history, politics, business, philosophy, and science, Too Big to Know describes how the very foundations of knowledge have been overturned, and what this revolution means for our future.


Data Science for Economics and Finance

Data Science for Economics and Finance

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  • Author: Sergio Consoli
  • Publisher: Springer Nature
  • ISBN: 3030668916
  • Category : Application software
  • Languages : en
  • Pages : 357

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.