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Data, Expert Knowledge and Decisions

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Cover of 'Data, Expert Knowledge and Decisions'

Table of Contents

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    Book Overview
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    Chapter 1 Characterization of Research Papers by Data Analysis Techniques
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    Chapter 2 The Interface Among Data Analysis, Marketing, and Representation of Knowledge
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    Chapter 3 PROLOG-Based Decision Support for Data Analysis in Marketing
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    Chapter 4 Market-Share Analysis: Communicating Results Through Spreadsheet-Based Simulators
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    Chapter 5 A PROLOG-Based PC-Implementation for New Product Introduction
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    Chapter 6 Exploring the Possibilities of an Improvement of Stochastic Market Models by Rule-Based Systems
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    Chapter 7 The Development of a Knowledge Based Media Planning System
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    Chapter 8 KREDIT: KEE-Based Support for Credit Decisions in a Mail-Order Firm
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    Chapter 9 A Decision Support System for Vehicle Scheduling in Public Transport
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    Chapter 10 Developing a Decision Support System for Personnel Disposition in a Garage—Experiences Using the KEE Shell
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    Chapter 11 MIDAS: An Expert Debt Management Advisory System
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    Chapter 12 Incorporating Knowledge in Decision Support Systems
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    Chapter 13 Statistical Structures for Analyzing Time-Dependent Observations
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    Chapter 14 Data Analysis and Expert Systems: Generating Rules from Data
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    Chapter 15 Fuzzy Reasoning for Classification: An Expert System Approach
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    Chapter 16 OPTRAD: A Decision Support System for Portfolio Management in Stock and Options Markets
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    Chapter 17 Decision Support for Qualitative Data Analysis — KEE Shell Linked to FORTRAN Programs —
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    Chapter 18 Marketing Applications of Sequencing and Partitioning of Nonsymmetric and/or Two-Mode Matrices
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    Chapter 19 Multidimensional Scaling in Marketing Research: An Illustrative Application to a Telecommunications Pricing Problem
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    Chapter 20 Inferring an Ideal-Point Product-Market Map from Consumer Panel Data
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    Chapter 21 An Individual Importance Weights Model for Conjoint Analysis
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    Chapter 22 Dominated Options in Consumer Tradeoff Modeling: Is Their Occurrence Recognized?
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    Chapter 23 Market Segmentation by Dual Scaling Through Generalized Forced Classification
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    Chapter 24 Asymmetric Multidimensional Scaling of Car Switching Data
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    Chapter 25 Evolving Principal Clusters: Theory and Application to Management Monitoring
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    Chapter 26 The Importance of Unidimensional Unfolding for Marketing Research
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    Chapter 27 The Effect of Measurement Error on Determining the Number of Clusters in Cluster Analysis
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    Chapter 28 On the Use of Simulated Annealing for Combinatorial Data Analysis
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    Chapter 29 Some Thoughts on Comparing Multivariate Data with the Map Locations at which they are Observed
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    Chapter 30 Classification of Microcomputers and Marketing Interpretation
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    Chapter 31 Second Order Regression and Distance Analysis
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Title
Data, Expert Knowledge and Decisions
Published by
Springer Berlin Heidelberg, December 2012
DOI 10.1007/978-3-642-73489-2
ISBNs
978-3-64-273491-5, 978-3-64-273489-2
Editors

Gaul, Wolfgang, Schader, Martin

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