Research and Development in Intelligent Systems XVI
Proceedings of ES99, the Nineteenth SGES International Conference on Knowledge-Based Systems and Applied Artificial Intelligence, Cambridge, December 1999
1st Edition
Published on 4. January 2000
Book
Paperback/Softback
X, 356 pages
978-1-85233-231-0 (ISBN)
Description
This volume contains the refereed technical papers presented at ES99, the Nineteenth SGES International Conference on Knowledge-Based Systems and Applied Artificial Intelligence, held in Cambridge in December 1999. The papers in this volume present new and innovative developments in the field, divided into sections on knowledge engineering, knowledge discovery, case-based reasoning, learning and knowledge representation and refinement. This is the sixteenth volume in the Research and Development series. The series is essential reading for those who wish to keep up to date with developments in this important field. The Application Stream papers are published as a companion volume under the title
Applications and Innovations in Intelligent Systems VII
.
More details
Edition
1st Edition.
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Research
Illustrations
27 s/w Abbildungen
X, 356 p. 27 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 20 mm
Weight
540 gr
ISBN-13
978-1-85233-231-0 (9781852332310)
DOI
10.1007/978-1-4471-0745-3
Schweitzer Classification
Other editions
Additional editions
Ann Macintosh | Frans Coenen
Research and Development in Intelligent Systems XVI
Proceedings of ES99, the Nineteenth SGES International Conference on Knowledge-Based Systems and Applied Artificial Intelligence, Cambridge, December 1999
E-Book
12/2012
Springer
€96.29
Available for download
Content
Technical Keynote Address.- Can We Make Information Extraction More Adaptive?.- Best Refereed Technical Paper.- The KRAFT Architecture for Knowledge Fusion and Transformation.- Session 1: Learning.- Sequencing Training Examples for Iterative Knowledge Refinement.- Multistrategy Relational Learning of Heuristics for Problem Solving.- Learning Perceptual Schemas to Avoid the Utility Problem.- Extracting Constraint Knowledge from Code: A Case-Based Reasoning Approach.- Session 2: Knowledge Discovery.- Automatic Induction of Classification Rules from Examples Using N-Prism.- Learning Lazy Rules to Improve the Performance of Classifiers.- Algorithms for Computing Association Rules Using a Partial-Support Tree.- Discovering Surprising Patterns by Detecting Occurrences of Simpson's Paradox.- Session 3: Case-Based Beasoning.- Automating Case Selection in the Construction of a Case Library.- Improving a Distributed Case-Based Reasoning System Using Introspective Learning.- Structured Cases in CBR - Re-using and Adapting Cases for Time-Tabling Problems.- Roget's Thesaurus: An Additional Knowledge Source for Textual CBR?.- Session 4: Knowledge Engineering.- Knowledge Management Through Multi-Perspective Modelling: Representing and Distributing Organisational Memory.- Ontology Assisted Process Knowledge Acquisition.- Web-Mediated Knowledge Servers: Some Technical Issues.- CAPE: Extending CLIPS for the Internet.- Session 5: Knowledge Representation and Refinement.- Approach to Active Knowledge Based Scene Exploration.- Object Location in Colour Images Using Fuzzy-Tuned Scanpaths and a Neural Network.- An Algebraic Approach to KBS. Application to Computer Network Selection.- Qualitative Reasoning with Complex and Composite Regions in 2D Space.- Author Index.