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Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents : Second International Conference Shatin, N.T., Hong Kong, China, December…

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Cover of 'Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents : Second International Conference Shatin, N.T., Hong Kong, China, December 13–15, 2000 Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 Clustering by Similarity in an Auxiliary Space
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    Chapter 2 Analyses on the Generalised Lotto-Type Competitive Learning
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    Chapter 3 Extended K-means with an Efficient Estimation of the Number of Clusters
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    Chapter 4 An Interactive Approach to Building Classiffication Models by Clustering and Cluster Validation
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    Chapter 5 A New Distributed Algorithm for Large Data Clustering
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    Chapter 6 A NEW NONHIERARCHICAL CLUSTERING PROCEDURE FOR SYMBOLIC OBJECTS
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    Chapter 7 Quantization of Continuous Input Variables for Binary Classification
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    Chapter 8 Information-Based Classification by Aggregating Emerging Patterns
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    Chapter 9 Boosting the Margin Distribution
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    Chapter 10 Detecting a Compact Decision Tree Based on an Appropriate Abstraction
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    Chapter 11 A New Algorithm to Select Learning Examples from Learning Data
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    Chapter 12 Data Ranking Based on Spatial Partitioning
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    Chapter 13 Logical Decision Rules: Teaching C4.5 to Speak Prolog
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    Chapter 14 Visualisation of Temporal Interval Association Rules
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    Chapter 15 Lithofacies Characteristics Discovery from Well Log Data Using Association Rules
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    Chapter 16 Fuzzy Hydrocyclone Modelling for Particle Separation Using Fuzzy Rule Interpolation
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    Chapter 17 A Data-Driven Fuzzy Approach to Robot Navigation Among Moving Obstacles
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    Chapter 18 Best Harmony Learning
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    Chapter 19 Observational Learning with Modular Networks
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    Chapter 20 Finding Essential Attributes in Binary Data
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    Chapter 21 A Heuristic Optimal Reduct Algorithm
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    Chapter 22 A Note on Learning Automata Based Schemes for Adaptation of BP Parameters
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    Chapter 23 A Note on Covariances for Categorical Data
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    Chapter 24 A General Class of Neural Networks for Principal Component Analysis and Factor Analysis
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    Chapter 25 Generalised Canonical Correlation Analysis
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    Chapter 26 Integrating KPCA with an Improved Evolutionary Algorithm for Knowledge Discovery in Fault Diagnosis
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    Chapter 27 Temporal Data Mining Using Multilevel-Local Polynomial Models
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    Chapter 28 First Experiments for Mining Sequential Patterns on Distributed Sites with Multi-Agents
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    Chapter 29 Nonlinear and Noisy Time Series Prediction Using a Hybrid Nonlinear Neural Predictor
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    Chapter 30 Genetic Programming Prediction of Solar Activity
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    Chapter 31 Interpretation of the Richardson Plot in Time Series Representation
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    Chapter 32 Wavelet Methods in PDE Valuation of Financial Derivatives
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    Chapter 33 Fast Algorithms for Computing Corporate Default Probabilities
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    Chapter 34 Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation
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    Chapter 35 Applying Mutual Information to Adaptive Mixture Models
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    Chapter 36 Stability Analysis of Financial Ratios
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    Chapter 37 Modeling of the German Yield Curve by Error Correction Neural Networks
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    Chapter 38 Feature Selection for Support Vector Machines in Financial Time Series Forecasting
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    Chapter 39 ε -Descending Support Vector Machines for Financial Time Series Forecasting
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    Chapter 40 Classifying Market States with WARS
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    Chapter 41 “Left Shoulder” Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network
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    Chapter 42 A Computational Framework for Convergent Agents
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    Chapter 43 Multi-agent Integer Programming
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    Chapter 44 Building an Ontology for Financial Investment
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    Chapter 45 A Multi-Agent Negotiation Algorithm for Load Balancing in CORBA-Based Environment
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    Chapter 46 Existence of Minority in Multi-Agent Systems using Voronoi Tessellation
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    Chapter 47 Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning
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    Chapter 48 A Probabilistic Agent Approach to the Trafic Jam Problem
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    Chapter 49 Round-Table Architecture for Communication in Multi-agent Softbot Systems
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    Chapter 50 Mobile Agents for Reliable Migration in Networks
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    Chapter 51 A Construction of the Adapted Ontology Server in EC
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    Chapter 52 A Design and Implementation of Cyber Banking Process and Settlement System for Internet Commerce
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    Chapter 53 A Shopping Agent That Automatically Constructs Wrappers for Semi-Structured Online Vendors
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    Chapter 54 Real-time Web Data Mining and Visualisation
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    Chapter 55 Web Guide : Filtering and Constraining Site Browsing through Web Walker Techniques
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    Chapter 56 Topic Spotting on News Articles with Topic Repository by Controlled Indexing
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    Chapter 57 Validating the Behavior of Self-Interested Agents in an Information Market Scenario
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    Chapter 58 Discovering User Behavior Patterns in Personalized Interface Agents
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    Chapter 59 An Agent-Based Personalized Search on a Multi-search Engine Based on Internet Search Service
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    Chapter 60 A Case-Based Transformation from HTML to XML
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    Chapter 61 Persistent DOM: An architecture for XML repositories in relational databases
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    Chapter 62 Automatic News Video Caption Extraction and Recognition
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    Chapter 63 Advanced Multilevel Successive Elimination Algorithms for Motion Estimation in Video Coding
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    Chapter 64 News Content Highlight via Fast Caption Text Detection on Compressed Video
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    Chapter 65 Texture-based Text Location for Video Indexing
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    Chapter 66 Video Segmentation by Two Measures and Two Thresholds
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    Chapter 67 Ink Retrieval from Handwritten Documents
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    Chapter 68 An Off-Line Recognizer for Hand-Written Chinese Characters
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    Chapter 69 Bayesian Learning for Image Retrieva Using Multiple Features
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    Chapter 70 A Content-Based Image Retrieval Method Using Third- Order Color Feature Relations
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    Chapter 71 Hierarchical Discriminant Regression for Incremental and Real-Time Image Classification
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    Chapter 72 Distinguishing Real and Virtual Edge Intersection in Pairs of Uncalibrated Images
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    Chapter 73 Stereo Correspondence Using GA-Based Segmentation
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    Chapter 74 How Adaptive Agents in Stock Market Perform in the Presence of Random News: A Genetic Algorithm Approach
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    Chapter 75 Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data
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    Chapter 76 Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming
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    Chapter 77 Combining Ordinal Financial Predictions with Genetic Programming
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    Chapter 78 Applying Independent Component Analysis to Factor Model in Finance
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    Chapter 79 Web-Based Cluster Analysis System for China and Hong Kong’s Stock Market
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    Chapter 80 Arbitrage-Free Asset Pricing in General State Space
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    Chapter 81 A Tabu Search Based Algorithm for Clustering Categorical Data Sets
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    Chapter 82 A New Methodology to Compare Algorithms
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Title
Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents : Second International Conference Shatin, N.T., Hong Kong, China, December 13–15, 2000 Proceedings
Published by
Springer Berlin Heidelberg, July 2003
DOI 10.1007/3-540-44491-2
ISBNs
978-3-54-041450-6, 978-3-54-044491-6
Editors

Leung, Kwong Sak, Meng, Helen, Chan, Lai-wan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 25%
Belgium 1 13%
Unknown 5 63%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 50%
Professor 2 25%
Student > Master 2 25%
Readers by discipline Count As %
Computer Science 4 50%
Physics and Astronomy 1 13%
Medicine and Dentistry 1 13%
Engineering 1 13%
Unknown 1 13%