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E-raamat: Intelligent Data Engineering and Automated Learning - IDEAL 2008: 9th International Conference Daejeon, South Korea, November 2-5, 2008, Proceedings

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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 5326
  • Ilmumisaeg: 04-Nov-2008
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783540889069
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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 5326
  • Ilmumisaeg: 04-Nov-2008
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783540889069

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IDEAL 2008 was the ninth IDEAL conference to take place; earlier editions were held in Hong Kong, the UK, Australia and Spain. This was the first time, though hopefully not the last time, that it took place in Daejeon, South Korea, during November 25, 2008. As the name suggests, the conference attracts researchers who are involved in either data engineering or learning or, increasingly, both. The former topic involves such aspects as data mining (or intelligent knowledge discovery from databases), infor- tion retrieval systems, data warehousing, speech/image/video processing, and mul- media data analysis. There has been a traditional strand of data engineering at IDEAL conferences which has been based on financial data management such as fraud det- tion, portfolio analysis, prediction and so on. This has more recently been joined by a strand devoted to bioinformatics, particularly neuroinformatics and gene expression analysis. Learning is the other major topic for these conferences and this is addressed by - searchers in artificial neural networks, machine learning, evolutionary algorithms, artificial immune systems, ant algorithms, probabilistic modelling, fuzzy systems and agent modelling. The core of all these algorithms is adaptation.
Learning and Information Processing.- Proposal of Exploitation-Oriented
Learning PS-r#.- Kernel Regression with a Mahalanobis Metric for Short-Term
Traffic Flow Forecasting.- Hybrid Weighted Distance Measures and Their
Application to Pattern Recognition.- A Multitask Learning Approach to Face
Recognition Based on Neural Networks.- Logic Synthesis for FSMs Using Quantum
Inspired Evolution.- A New Adaptive Strategy for Pruning and Adding Hidden
Neurons during Training Artificial Neural Networks.- Using Kullback-Leibler
Distance in Determining the Classes for the Heart Sound Signal
Classification.- A Semi-fragile Watermark Scheme Based on the Logistic Chaos
Sequence and Singular Value Decomposition.- Distribution Feeder Load
Balancing Using Support Vector Machines.- Extracting Auto-Correlation Feature
for License Plate Detection Based on AdaBoost.- Evolutionary Optimization of
Union-Based Rule-Antecedent Fuzzy Neural Networks and Its Applications.-
Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective
Attention.- Top-Down Object Color Biased Attention Using Growing Fuzzy
Topology ART.- A Study on Human Gaze Estimation Using Screen Reflection.- A
Novel GA-Taguchi-Based Feature Selection Method.- Nonnegative Matrix
Factorization (NMF) Based Supervised Feature Selection and Adaptation.-
Automatic Order of Data Points in RE Using Neural Networks.- Orthogonal
Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel
Manifolds.- Feature Discovery by Enhancement and Relaxation of Competitive
Units.- Genetic Feature Selection for Optimal Functional Link Artificial
Neural Network in Classification.- A Novel Ensemble Approach for Improving
Generalization Ability of Neural Networks.- Semi-supervised Learning with
Ensemble Learning and Graph Sharpening.- Exploring Topology Preservation of
SOMs with a Graph Based Visualization.- A Class of Novel Kernel Functions.-
Data Mining and Information Management.- RP-Tree: A Tree Structure to
Discover Regular Patterns in Transactional Database.- Extracting Key Entities
and Significant Events from Online Daily News.- Performance Evaluation of
Intelligent Prediction Models on Smokers Quitting Behaviour.- Range Facial
Recognition with the Aid of Eigenface and Morphological Neural Networks.-
Modular Bayesian Network Learning for Mobile Life Understanding.- Skin Pores
Detection for Image-Based Skin Analysis.- An Empirical Research on Extracting
Relations from Wikipedia Text.- A Data Perturbation Method by Field Rotation
and Binning by Averages Strategy for Privacy Preservation.- Mining Weighted
Frequent Patterns Using Adaptive Weights.- On the Improvement of the Mapping
Trustworthiness and Continuity of a Manifold Learning Model.- Guaranteed
Network Traffic Demand Prediction Using FARIMA Models.- A New Incremental
Algorithm for Induction of Multivariate Decision Trees for Large Datasets.-
The Use of Semi-parametric Methods for Feature Extraction in Mobile Cellular
Networks.- Personalized Document Summarization Using Non-negative Semantic
Feature and Non-negative Semantic Variable.- Bioinformatics and
Neuroinformatics.- Cooperative E-Organizations for Distributed Bioinformatics
Experiments.- Personal Knowledge Network Reconfiguration Based on Brain Like
Function Using Self Type Matching Strategy.- A Theoretical Derivation of the
Kernel Extreme Energy Ratio Method for EEG Feature Extraction.- Control of a
Wheelchair by Motor Imagery in Real Time.- Robust Vessel Segmentation Based
on Multi-resolution Fuzzy Clustering.- Building a Spanish MMTx by Using
Automatic Translation andBiomedical Ontologies.- Compensation for
Speed-of-Processing Effects in EEG-Data Analysis.- Statistical Baselines from
Random Matrix Theory.- Adaptive Classification by Hybrid EKF with Truncated
Filtering: Brain Computer Interfacing.- Agents and Distributed Systems.-
Improving the Relational Evaluation of XML Queries by Means of Path
Summaries.- Identification of the Inverse Dynamics Model: A Multiple
Relevance Vector Machines Approach.- When Is Inconsistency Considered
Harmful: Temporal Characterization of Knowledge Base Inconsistency.-
Intelligent Engineering and Its Application in Policy Simulation.- Design of
Directory Facilitator for Agent-Based Service Discovery in Ubiquitous
Computing Environments.- Financial Engineering and Modeling.- Laboratory of
Policy Study on Electricity Demand Forecasting by Intelligent Engineering.-
Self-adaptive Mutation Only Genetic Algorithm: An Application on the
Optimization of Airport Capacity Utilization.- Cross Checking Rules to
Improve Consistency between UML Static Diagram and Dynamic Diagram.- Neural
Networks Approach to the Detection of Weekly Seasonality in Stock Trading.-
Invited Session.- Bregman Divergences and the Self Organising Map.- Feature
Locations in Images.- A Hierarchical Self-organised Classification of
Multinational Corporations.- An Adaptive Image Watermarking Scheme Using
Non-separable Wavelets and Support Vector Regression.- Cluster Analysis of
Land-Cover Images Using Automatically Segmented SOMs with Textural
Information.- Application of Topology Preserving Ensembles for Sensory
Assessment in the Food Industry.- AI for Modelling the Laser Milling of
Copper Components.- Country and Political Risk Analysis of Spanish
Multinational Enterprises Using Exploratory Projection Pursuit.- Single-Layer
NeuralNet Competes with Multi-layer Neural Net.- Semi-supervised Growing
Neural Gas for Face Recognition.