Intelligent Data Engineering and Automated Learning - IDEAL 2002

1. Front Matter

   Pages I-XV

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2. Data Mining

   1. Mining Frequent Sequential Patterns under a Similarity Constraint

      • Matthieu Capelle, Cyrille Masson, Jean-François Boulicaut

      Pages 1-6

   2. Pre-pruning Classification Trees to Reduce Overfitting in Noisy Domains

      • Max Bramer

      Pages 7-12

   3. Data Mining for Fuzzy Decision Tree Structure with a Genetic Program

      • James F. Smith III

      Pages 13-18

   4. Co-evolutionary Data Mining to Discover Rules for Fuzzy Resource Management

      • James F. Smith III

      Pages 19-24

   5. Discovering Temporal Rules from Temporally Ordered Data

      • Kamran Karimi, Howard J. Hamilton

      Pages 25-30

   6. Automated Personalisation of Internet Users Using Self-Organising Maps

      • Yrjö Hiltunen, Mika Lappalainen

      Pages 31-34

   7. Data Abstractions for Numerical Attributes in Data Mining

      • Masaaki Narita, Makoto Haraguchi, Yoshiaki Okubo

      Pages 35-42

   8. Calculating Aggregates with Range-Encoded Bit-Sliced Index

      • Kashif Bhutta

      Pages 43-49

   9. T3: A Classification Algorithm for Data Mining

      • Christos Tjortjis, John Keane

      Pages 50-55

   10. A Hierarchical Model to Support Kansei Mining Process

       • Tomofumi Hayashi, Akio Sato, Nadia Berthouze

       Pages 56-61

   11. Evolving SQL Queries for Data Mining

       • Majid Salim, Xin Yao

       Pages 62-67

   12. Indexing and Mining of the Local Patterns in Sequence Database

       • Xiaoming Jin, Likun Wang, Yuchang Lu, Chunyi Shi

       Pages 68-73

3. Knowledge Engineering

   1. A Knowledge Discovery by Fuzzy Rule Based Hopfield Network

      • Thanakorn Sornkaew, Yasuo Yamashita

      Pages 74-79

   2. Fusing Partially Inconsistent Expert and Learnt Knowledge in Uncertain Hierarchies

      • Jonathan Rossiter

      Pages 80-86

   3. Organisational Information Management and Knowledge Discovery in Email within Mailing Lists

      • Emanuela Moreale, Stuart Watt

      Pages 87-92

   4. Design of Multi-drilling Gear Machines by Knowledge Processing and Machine Simulation

      • G. Klene, A. Grauel, H. J. Convey, A. J. Hartley

      Pages 93-98

4. Text and Document Processing

   1. Classification of Email Queries by Topic: Approach Based on Hierarchically Structured Subject Domain

      • Anna V. Zhdanova, Denis V. Shishkin

      Pages 99-104

   2. A Knowledge-Based Information Extraction System for Semi-structured Labeled Documents

      • Jaeyoung Yang, Heekuck Oh, Kyung-Goo Doh, Joongmin Choi

      Pages 105-110

   3. Measuring Semantic Similarity Between Words Using Lexical Knowledge and Neural Networks

      • Yuhua Li, Zuhair Bandar, David Mclean

      Pages 111-116

This book constitutes the refereed proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2002, held in Manchester, UK in August 2002.
The 89 revised papers presented were carefully reviewed and selected from more than 150 submissions. The book offers topical sections on data mining, knowledge engineering, text and document processing, internet applications, agent technology, autonomous mining, financial engineering, bioinformatics, learning systems, and pattern recognition.

• Knowledge Engineering
• algorithmic learning
• bioinformatics
• computational learning theory
• data engineering
• data mining
• financial engineering
• information agents
• intelligent data analysis
• intelligent information processing
• knowledge discovery
• learning
• pattern recognition
• text processing

• Department of Electrical Engineering and Electronics, UMIST, Manchester, UK

  Hujun Yin, Nigel Allinson, Richard Freeman

• Department of Computation, UMIST, Manchester, UK

  John Keane

• Department of Biomolecular Science, UMIST, Manchester, UK

  Simon Hubbard

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