Knowledge, Data and Computer-Assisted Decisions

Softcover Nachdruck of the original 1. Auflage 1990
ISBN: 978-3-642-84220-7
Verlag: Springer

Buch, Englisch, Band 61, 421 Seiten, Paperback, Format (B × H): 170 mm x 242 mm, Gewicht: 742 g

Reihe: NATO ASI Subseries F:

This volume contains revised versions of most of the papers presented at the NATO Advanced Research Workshop 011 Data, Expert Knowledge and Decisions. The meeting took place at the UniversiUit del' Bundeswehr Hamburg in September 1989, with local organization by the Institut fiir Informatik. It was the second of its kind, following a workshop held at the Universitiit Karlsruhe in 1987. The workshop brought together researchers and practitioners illterested in current sophisticated data analysis techniques, recent research on computer-assisted decision sup­ port, developments of knowledge-based systems, and--this was one of the main issues of the workshop-cross-disciplinary aspects of these fields. Participants in the workshop represented fifteen countries. The meeting was orgallized together with Edwin Diday, Le Chesnay, France, Phipps Arabie, Champaign, U.S.A., Alain Bultez, Bruxelles, Belgium, Franz-J. Radermacher, VIm, Germany. We all, gratefully, take the opportunity to acknowledge support by Aachener Riickversicherungs­ NATO Scientific Affairs Division, gesellschaft, Gesellschaft del' Freunde und Forderer del' Universitiit del' Bundeswehr Hamburg, Hewlett Packard GmbH, Universitiit del' Bundeswehr Hamburg, Nixdorf Computer AG, Freie und Hansestadt Hamburg, which made it possible to stage a meeting of this international character. The volume consists of the three parts - Symbolic Data, Concepts and Learning, - Data Analysis and Applications, - Computer-Assisted Decisioll Support: Integrating, Represelltillg and Processing Knowledge.

Zielgruppe

Research

Autoren/Hrsg.

Gaul, Wolfgang A.

Schader, Martin

Inhaltsverzeichnis

1 Symbolic Data, Concepts and Learning.- Pyramidal Representation of Symbolic Objects.- Knowledge Representation and Symbolic Data Analysis.- Automated Acquisition of Production Rules by Empirical Supervised Learning Methods.- Improving Consistency Within Knowledge Bases.- Cluster and Classify: A Conceptual Approach.- Incremental Learning From Symbolic Objects.- 2 Data Analysis and Applications.- Fitting a Quasi-Poisson Case of the GSTUN (General Stochastic Tree UNfolding) Model and Some Extensions.- A Latent Class Approach to Modeling Pairwise Preferential Choice Data.- Dual Scaling of Designed Experiments.- A Generalization of Asymmetric Multidimensional Scaling.- Some Algorithms for “Bond Energy” Data Analysis, Including Simulated Annealing.- 3 Computer-Assisted Decision Support: Integrating, Representing and Processing Knowledge.- Building an Expert Decision Support System: The Integration of Artificial Intelligence and Operations Research Methods.- Space Management Support Systems: From SH.A.R.P. to M.E.S.s?.- Decision Making: A Computational Approach.- Artificial Intelligence Methods in Data Analysis and Interpretation.- Market-Share Analysis: A Core Technology for Learning About Markets and Competition.- A Tentative Approach to Integrate AI Techniques to Improve a Heuristic-Based OR Model for Rural Telephone Network Planning.- A Knowledge-Based Multimedia Distributed System Model.- Knowledge Representation and Search Methods for Decision Support Systems.- Knowledge-Oriented Support for Data. Analysis Applications to Marketing.- Expert Systems as Support in Economic Planning.- Emergent Themes in Statistical Expert Systems.- Business Forecasts Using a Forecasting Expert System.- Expert Systems: A Database Perspective.- Interpretation of N umbers as Search.-DSFINANCE—Decision Support for Financial Planning.- Applying Data Analysis Techniques to Acquire Knowledge About Database Use and Contents.- Knowledge Acquisition for a Diagnosis-Based Task.- A Simple Software System for Eliciting Structured Sets of Notions from a Group of Experts (Methods and Experiences).- Demand Forecasting for Strategic Decision Support.- Model Management: The Core of Intelligent Decision Support.- S.AM:.A Knowledge-Based System for Modeling an Economist.