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
1. Auflage. 2000
ISBN: 978-1-85233-231-0
Verlag: Springer

Buch, Englisch, 356 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 540 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Coenen, Frans

Macintosh, Ann

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

Introduction: Technical Programme Chairman's Introduction - MA Bramer. Technical Keynote Address: Can We Make Information Extraction More Adaptive? - Y Wilks. Best Technical Paper: The KRAFT Architecture for Knowledge Fusion and Transformation - A Preece, K Hui, A Gray, P Marti, T Bench-Capon, D Jones, Z Cui.- Learning: Sequencing Training Examples for Iterative Knowledge Refinement - N Wiratunga, S Craw. Multistrategy Relational Learning of Heuristics for Problem Solving - D Borrajo, D Comacho, A Silva. Learning Perceptual Schemas to Avoid the Utility Problem - P Lane, P Cheng, F Gobet. Extracting Constraint Knowledge from Code: A Case-Based Reasoning Approach - A Broad, N Filer.- Knowledge Discovery: Automatic Induction of Classification Rules from Examples using N-Prism - MA Bramer. Learning Lazy Rules to Improve the Performance of Classifiers - KM Ting, Z Zheng, G Webb. Algorithms for Computing Association Rules using a Partial-Support Tree - G Goulbourne, F Coenen, P Leng. Discovering Surprising Patterns by Detecting Occurrences of Simpson's Paradox - CC Fabris, AA Freitas.- Case Based Reasoning: Automating Case Selection in the Construction of a Case Library - D McSherry. Improving a Distributed Case-Based Reasoning System using Introspective Learning - I Watson, D Gardingen. Structured Cases in CBR - Reusing and Adapting Cases for Time-tabling Problems - E Burke, S Petrovic, R Qu, B MacCarthy. Roget's Thesaurus: An Additional Knowledge Source for Textual CBR? - J Ellman, J Tait.- Knowledge Engineering: Knowledge Management through Multi-Perspective Modelling: Representing and Distributing Organisational Memory - J Kingston, A Macintosh. Ontology Assisted Process Knowledge Acquisition - H Cottam, N Shadbolt. Web-Mediated Knowledge Servers: Some Technical Issues - A Basden. CAPE: Extending CLIPS for the Internet - R Inder.- Knowledge Representation and Refinement: Approach to Active Knowledge Based SceneExploration - U Ahlrichs, J Fisher, D Paulus, H Niemann. Object Location in Colour Images using Fuzzy-Tuned Scanpaths and a Neural Network - M Allen, Q Mehdi, I Griffiths, N Gough, I Coulson. An Algebraic Approach to KBS. Application to ComputerNetwork Selection - LMLaita, E Roanes-Lozano, MA Henares, A Esteban, L de Ledesma, E Roanes-Macias. Qualitative Reasoning with Complex and Composite Regions in 2D Space - A Abdelmoty, B El-Geresy.