Advances in Case-Based Reasoning : 6th European Conference, ECCBR 2002 Aberdeen, Scotland, UK, September 4-7, 2002 Proceedings / edited by Susan Craw, Alun Preece.

Format:

Book

Contributor:

Craw, Susan, 1955- editor.

Preece, Alun, 1965- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 2416.

Lecture Notes in Artificial Intelligence ; 2416

Language:

English

Subjects (All):

Artificial intelligence.

Cognitive psychology.

Logic, Symbolic and mathematical.

Information technology.

Business--Data processing.

Business.

Operations research.

Decision making.

Artificial Intelligence.

Cognitive Psychology.

Mathematical Logic and Formal Languages.

IT in Business.

Operations Research/Decision Theory.

Local Subjects:

Artificial Intelligence.

Cognitive Psychology.

Mathematical Logic and Formal Languages.

IT in Business.

Operations Research/Decision Theory.

Physical Description:

1 online resource (XII, 656 pages).

Edition:

First edition 2002.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.

System Details:

text file PDF

Summary:

The papers collected in this volume were presented at the 6th European C- ference on Case-Based Reasoning (ECCBR 2002) held at The Robert Gordon University in Aberdeen, UK. This conference followed a series of very succe- ful well-established biennial European workshops held in Trento, Italy (2000), Dublin, Ireland (1998), Lausanne, Switzerland (1996), and Paris, France (1994), after the initial workshop in Kaiserslautern, Germany (1993). These meetings have a history of attracting ?rst-class European and international researchers and practitioners in the years interleaving with the biennial international co- terpart ICCBR; the 4th ICCBR Conference was held in Vancouver, Canada in 2001. Proceedings of ECCBR and ICCBR conferences are traditionally published by Springer-Verlag in their LNAI series. Case-Based Reasoning (CBR) is an AI problem-solving approach where pr- lems are solved by retrieving and reusing solutions from similar, previously solved problems, and possibly revising the retrieved solution to re?ect di?erences - tween the new and retrieved problems. Case knowledge stores the previously solved problems and is the main knowledge source of a CBR system. A main focus of CBR research is the representation, acquisition and maintenance of case knowledge. Recently other knowledge sources have been recognized as important: indexing, similarity and adaptation knowledge. Signi?cant knowledge engine- ing e?ort may be needed for these, and so the representation, acquisition and maintenance of CBR knowledge more generally have become important.

Contents:

Invited Papers

Integrating Background Knowledge into Nearest-Neighbor Text Classification

Applying Knowledge Management: Techniques for Building Organisational Memories

Research Papers

On the Complexity of Plan Adaptation by Derivational Analogy in a Universal Classical Planning Framework

Inductive Learning for Case-Based Diagnosis with Multiple Faults

Diverse Product Recommendations Using an Expressive Language for Case Retrieval

Digital Image Similarity for Geo-spatial Knowledge Management

Poetry Generation in COLIBRI

Adaptation Using Iterated Estimations

The Use of a Uniform Declarative Model in 3D Visualisation for Case-Based Reasoning

Experiments on Case-Based Retrieval of Software Designs

Exploiting Taxonomic and Causal Relations in Conversational Case Retrieval

Bayesian Case Reconstruction

Relations between Customer Requirements, Performance Measures, and General Case Properties for Case Base Maintenance

Representing Temporal Knowledge for Case-Based Prediction

Local Predictions for Case-Based Plan Recognition

Automatically Selecting Strategies for Multi-Case-Base Reasoning

Diversity-Conscious Retrieval

Improving Case Representation and Case Base Maintenance in Recommender Agents

Similarity Assessment for Generalizied Cases by Optimization Methods

Case Acquisition in a Project Planning Environment

Improving Case-Based Recommendation

Efficient Similarity Determination and Case Construction Techniques for Case-Based Reasoning

Constructive Adaptation

A Fuzzy Case Retrieval Approach Based on SQL for Implementing Electronic Catalogs

Integrating Hybrid Rule-Based with Case-Based Reasoning

Search and Adaptation in a Fuzzy Object Oriented Case Base

Deleting and Building Sort Out Techniques for Case Base Maintenance

Entropy-Based vs. Similarity-Influenced: Attribute Selection Methods for Dialogs Tested on Different Electronic Commerce Domains

Category-Based Filtering and User Stereotype Cases to Reduce the Latency Problem in Recommender Systems

Defining Similarity Measures: Top-Down vs. Bottom-Up

Learning to Adapt for Case-Based Design

An Approach to Aggregating Ensembles of Lazy Learners That Supports Explanation

An Experimental Study of Increasing Diversity for Case-Based Diagnosis

Application Papers

Collaborative Case-Based Recommender Systems

Tuning Production Processes through a Case Based Reasoning Approach

An Application of Case-Based Reasoning to the Adaptive Management of Wireless Networks

A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers

An Automated Hybrid CBR System for Forecasting

Using CBR for Automation of Software Design Patterns

A New Approach to Solution Adaptation and Its Application for Design Purposes

InfoFrax: CBR in Fused Cast Refractory Manufacture

Comparison-Based Recommendation

Case-Based Reasoning for Estuarine Model Design

Similarity Guided Learning of the Case Description and Improvement of the System Performance in an Image Classification System

ITR: A Case-Based Travel Advisory System

Supporting Electronic Design Reuse by Integrating Quality-Criteria into CBR-Based IP Selection

Building a Case-Based Decision Support System for Land Development Control Using Land Use Function Pattern.

Other Format:

Printed edition:

ISBN:

978-3-540-46119-7

9783540461197

Access Restriction:

Restricted for use by site license.