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Applications and Innovations in Intelligent Systems XII - Proceedings of AI-2004, the Twenty-fourth SGAI International Conference on Innhovative Techniques and Applications of Artificial Intelligence
APPLICATION PROGRAMME CHAIR'S INTRODUCTION
5
ACKNOWLEDGEMENTS
6
APPLICATIONS PROGRAMME COMMITTEE
7
CONTENTS
8
BEST APPLICATION PAPER
11
A Case-Based Technique for Tracking Concept Drift in Spam Filtering
12
1 Introduction
12
2 Spam Filtering and Machine Learning
13
3 The Problem of Concept Drift
14
3.1 Definitions and Types of Concept Drift
14
3.2 Approaches to Handling Concept Drift
14
4 A Case-Based Approach to Concept Drift
15
4.1 Feature Selection
16
4.2 Case Retrieval
16
4.3 Case-base Management
17
5 Evaluation
18
5.1 Experimental Setup
18
5.2 Evaluation Metrics
18
5.3 CBR vs. Naive Bayes
19
5.4 Level 1 Learning - Continuous Updating with new Instances
20
5.5 Level 2 Learning - Model Rebuild with Feature Reselection
21
6 Conclusions
23
References
23
SESSION 1 : SYNTHESIS AND PREDICTION
26
Matching and Predicting Crimes
27
1. Introduction
27
2. Data and Initial Analysis
28
3. Matching Crimes
30
3.1 Single Crimes with Similarity-Based Retrieval
30
3.2 Naive Bayes Classifier and Spatio-Temporal Features
31
3.3 Matching Series of Crimes with Logic
33
4. Predicting Crimes
35
4.1 Survival/Failure Time Analysis
35
4.2 Bayesian Network
37
5. Conclusions and Future Directions
38
Acknowledgements
39
References
39
Story Plot Generation based on CBR
41
1 Introduction
41
2 Related Work
42
2.1 Computational Plot Generation
42
2.2 Natural Language Generation
42
3 A CBR System for Composing Plot Plans
43
3.1 The System Knowledge
43
3.2 The CBR Module
46
4 The Natural Language Generation Module
48
4.1 Input Data for the NLG Module
48
4.2 Stages of the NLG Module
50
5 Conclusions
52
Acknowledgements
53
References
53
Studying Continuous Improvement from a Knowledge Perspective
55
1. Introduction
55
1.1 Bacl^round for the Study
56
1.2 Why Apply Knowledge Structure Mapping to Continuous Improvement?
56
2. The Knowledge Structure Mapping
57
2.1 Outputs from a KSM Investigation
57
2.2 The Value of a Knowledge Centred Approach
59
3* The CI Investigation
60
3.1 Defining the Study Focus
60
3.2 Forming the Team
61
3.3 The Study Approach
62
3.4 Analysing and Evaluating Results
63
3.5 Report Delivery
63
4. Project Results
64
4.1 The Results
64
4.2 Analysis of the Results
65
4.3 Observations and Recommendations
67
5. Initial Business Reaction
69
6. Conclusion
70
References
71
ReTAX+: A Cooperative Taxonomy Revision Tool
72
1. Introduction
72
2. Related Work
73
3. System Architecture
74
4. Definitions for Ontological Analysis
75
4.1 Taxonomy
75
4.2 Class & Attributes
75
5. Operations on Taxonomy
76
5.1 Maintenance of x and dri
76
5.2 Manipulation of Attributes
77
5.3 Manipulation of Classes
78
5.4 Refinement Strategies
81
6. Implementation
83
6.1 Planned Enhancements
83
7. Conclusion
84
SESSION 2: SCHEDULING AND SEARCH
86
A Non-Binary Constraint Ordering Approach to Scheduling Problems
87
1 Introduction
87
2 Definition and Algorithms
89
2.1 Variable Ordering
89
2.2 Value Ordering
90
3 Example of Non-binary Scheduling Problem
90
4 Constraint Ordering Heuristic (COH)
92
4.1 Specification of COH
93
5 Analysis of COH
95
6 Evaluation of COH
95
7 Conclusion and future work
99
References
99
A Heuristic Based System for Generation of Shifts with Breaks
101
1 INTRODUCTION
101
2 PROBLEM DESCRIPTION
103
3 APPLICATION DESCRIPTION
104
3.1 Generation of breaks
104
4 APPLICATION USE
106
4.1 Definition of temporal requirements
107
4.2 Constraints regarding shift types
107
4.3 Weights of criteria
109
4.4 Definition of break types
109
4.5 Generation of shifts
110
5 CONCLUSION
110
Acknowledgment
112
References
112
A Topological Model Based on Railway Capacity to Manage Periodic Train Scheduling
113
1 Introduction
113
2 Problem Topology
115
2.1 Railway Traffic Rules, topological and requirement constraints
116
2.2 General System Architecture
117
3 Railway Capacity
118
4 Topological Constraint Optimization Technique
120
4.1 Topological Technique
121
5 Evaluation
123
6 Conclusions
125
References
126
Collaborative Search; Deployment Experiences
127
1 Introduction
127
2 Repetition &: Regularity in Web Search
128
3 A Review of Collaborative Search
129
4 I-SPY
130
4.1 Creating a Community
131
4.2 Example Session
132
5 Live-User Evaluation
133
5.1 Methodology
134
5.2 Test Scores
134
5.3 Group Differences
136
5.4 Result Selections
137
5.5 Summary
138
6 Lessons Learned
138
6.1 Exploiting Query Similarity
138
6.2 Query Recommendation
139
6.3 Result Diversity
139
7 Conclusions
139
References
140
SESSION 3: DIAGNOSIS AND MONITORING
141
A Model-Based Approach to Robot Fault Diagnosis
142
1 Introduction
142
2 Problem Formulation and Solution
143
2.1 Robotic Fault Description
143
2.2 Robot Diagnosis System
144
3 Robotic Fault Reasoning
144
3.1 Robotic Bounds Generation
145
3.2 Interval Filter
146
3.3 Component-Based Robotic Reasoning
147
4 Case study
150
4.1 Simulation results
150
4.2 Fault report
152
5 Conclusion
152
Acknowledgements
153
Notation
153
References
154
Automating the Analysis and Management of Power System Data using Multi-agent Systems Technology
156
1. Introduction
156
2. Post-fault Analysis and Management of Power System Data related to Protection Operation
157
2.1 Monitoring Systems and Data sources
158
2.2 Post-fault Analysis using Existing Software Tools
161
3. Protection Engineering Diagnostic Agents
163
3.1 Agents and their Interactions
163
4. Industrial Implementation of PEDA
165
4.1 Issues arising during industrial implementation
165
4.2 Resolving issues related to industrial implementation
166
4.3 Agents and their interactions
167
5. Concluding Remarks
169
References
169
The Industrialisation of a Multi-Agent System for Power Transformer Condition Monitoring
170
1 Introduction
170
2 Transformer Condition Monitoring
171
3 COMMAS
172
3.1 Functional Design
172
3.2 Detailed Design
174
4 Aspects of Extensible Design
176
4.1 The Java Agent DEvelopment Framework (JADE)
177
4.2 Ontology and Content Language
177
4.3 Raw Data Formats
179
5 Running COMMAS
181
6 Conclusion
181
References
182
SESSION 4: CLASSIFICATION AND DESIGN
184
An Improved Genetic Programming Technique for the Classification of Raman Spectra
185
1 Introduction
185
2 Description of Task
186
3 Analysis Techniques
187
4 Experimental Results
191
5 Conclusions & Future Work
195
PROPOSE - Intelligent Advisory System for supporting Redesign
197
1. Introduction
197
2. Analysis-Based Optimisation in Design Process
198
3. Development of the Intelligent Redesign System
200
4. The Knowledge Base
201
5. The Shell of the System
203
6. Evaluation of the System
206
Conclusions
210
Acknowledgements
210
References
211
The Designers' Workbench: Using Ontologies and Constraints for Configuration
213
1. Backround
213
2. Aims of Designers' Workbench
214
3. Related work
215
3.1 Constraint-based approaches
215
3.2 Ontology-based approaches
216
3.3 Combining constraints and ontologies
216
4. An illustrative example
217
5. Functionality
219
6. Additional features of the Designers* Workbench
220
6.1 Graph-based display of configuration
221
6.2 Checking incomplete configurations
221
6.3 Constraint rationales
221
7. Preliminary evaluation
222
8. Future work
222
8.1 Propagation of values
222
8.2 Functional descriptions
223
8.3 Design rationale storage (argumentation)
223
8.4 Constraint input
223
8.5 Ontology change
223
9. Summary
224
10. Acknowledgements
224
A Visualisation Tool to Explain Case-Base Reasoning Solutions for Tablet Formulation
226
1 Introduction
226
2 Solutions Require Explanations
228
3 What Needs to be Explained
229
3.1 Knowledge Containers
229
3.2 The Proposed Solution
230
4 Textual FORMUCASE
230
5 FORMUCASEVIZ
231
5.1 Ordering the Attributes
232
6 User Evaluation of FormuCaseViz
234
7 Related Work
236
8 Conclusions and Future Work
237
Acknowledgments
237
References
237
SESSION 5: ANALYSIS AND EVALUATION
239
Formal Analysis of Empirical Traces in Incident Management
240
1. Introduction
240
2. The Hercules Disaster
241
3. The Dakota Disaster
243
4. Categorisation of Error Types
244
5. Modelling Approach
246
6. Formalisation of an Empirical Trace
247
7. Validation of a Trace
249
8. Discussion
252
References
252
Modelling Expertise for Structure Elucidation in Organic Chemistry Using Bayesian Networks
254
1 Introduction
254
2 Related Work
255
3 Bayesian Networks
256
4 Modelling
258
4.1 Spectral and Structural Subunits
258
4.2 Aromatic Carbons
260
4.3 Laws of the Domain
261
4.4 Assignment of Probability Values
263
5 Results and Outlook
264
References
266
Evaluation of a Mixed-Initiative Dialogue Multimodal Interface
268
1. Introduction
268
2. System Architecture
269
3. Operation Overview
270
4. Comparison between the Mixed-initiative and Directed-Dialogue Interfaces
272
5. Accuracy and Usability Test
273
5.1 Participants Selection
273
5.2 Experimental Setup
274
5 3 Statistics Methods for Test Results
274
5.4 Speech Recognition Accuracy Result
275
5.5 Usability Attributes Result
276
5.6 Results according to user age
277
5.7 Error Recovery Test Result
278
6. Conclusion and Discussion
279
Acknowledgements
280
References
281
AUTHOR INDEX
282
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