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Intelligent Data Engineering and Automated Learning

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Intelligent Data Engineering and Automated Learning (IDEAL) was initially a biennial forum dedicated to emerging and challenging t... Weiterlesen
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Intelligent Data Engineering and Automated Learning (IDEAL) was initially a biennial forum dedicated to emerging and challenging topics in intelligent data analysis, knowledge discovery, and statistical and computational learning. The huge success of recent IDEAL conferences and the continuous growth of the ?eld have compelled it to become an annual conference after 2003. It is now a major international, interdisciplinary event covering subjects from data mining, inf- mation retrieval and management, autonomous learning, and agents to ?nancial engineering, neural networks, emerging learning paradigms and systems, bio- formatics, and pattern recognition. Data analysis and processing has become a common theme and plays a crucial role in many disciplines, especially in ?nance, biology, engineering, and information technology. Demand for intelligent met- dologies and tools is immense. The multidisciplinary nature of current research is pushing the traditional boundaries and bringing new ideas and solutions, and it is the way forward. This volume contains 164 refereed and ?nally accepted papers presented at the4thInternationalConferenceonIntelligentDataEngineeringandAutomated Learning (IDEAL 2003), held in Hong Kong, March 21 23, 2003. IDEAL 2003 received a record level of submissions, 321 in total, from all over the world. They were subsequently peer-reviewed by the Program Committee. The conference was held together with the 2003 IEEE International Conference on Computat- nal Intelligence for Financial Engineering at the modern and magni?cent Hong KongConventionandExhibitionCentre.

Dr. Jiming Liu is the Head of Computer Science Department at Hong Kong Baptist University (HKBU). He leads the AAMAS/AOC Research Group (i.e., Autonomous Agents and Multi-Agent Systems / Autonomy-Oriented Computing) at HKBU. He holds a B.Sc. degree in Physics from East China Normal University in Shanghai, an M.A. degree in Educational Technology from Concordia University in Montreal, and an M.Eng. and a Ph.D. degrees both in Electrical Engineering from McGill University in Montreal. In Feb.-July 1999, Dr. Liu was an invited Visiting Scholar in Computer Science Department, Stanford University, where he was associated with the AI & Robotics Laboratory and taught advanced graduate classes on topics related to Robot Learning, Neural Robots, and Evolutionary Robotics. He is Guest Professor at University of Science and Technology of China, East China Normal University (Software Engineering Institute), and Beijing University of Technology, as well as Adjunct Fellow at E-Business Technology Institute (ETI - a joint partnership institute between IBM and University of Hong Kong). Dr. Liu is the co-founder of Web Intelligence Consortium (WIC), an international organization dedicated to promoting world-wide scientific research and industrial development in the era of Web and agent Intelligence. He has founded andserved, or is serving, as Program, Conference, Workshop, and General Chairs for several international conferences and workshops, including The IEEE/WIC International Conference on Web Intelligence (WI) series and The IEEE/WIC International Conference on Intelligent Agent Technology (IAT) series, and is presently serving as the Senior Program Committee Member, Program Committee Member, and Steering/Planning Committee Member for many major international conferences.

Agents.- A Two-Stage Bayesian Network for Effective Development of Conversational Agent.- Intelligent Agent Technology in E-commerce.- Connected Replicator Dynamics and Their Control in a Learning Multi-agent System.- Agent-Based Modeling of Efficient Markets.- Agent Compromises in Distributed Problem Solving.- A Multi-agent System for Emergency Decision Support.- The Artificial Ecosystem: A Multiagent Architecture.- Noise Correction in Genomic Data.- Gradient Based Method for Symmetric and Asymmetric Multiagent Reinforcement Learning.- Revocable Anonymity of Undeniable Signature Scheme.- Learning Classifier System for Generating Various Types of Dialogues in Conversational Agent.- An Enhanced Security Model for Mobile Agent System.- A Ring-Based Architectural Model for Middle Agents in Agent-Based System.- Belief Revision for Adaptive Recommender Agents in E-commerce.- Managing Fault Tolerance Information in Multi-agents Based Distributed Systems.- Agent-Based Layered Intelligent Information Integration System Using Ontology and Metadata Registry.- Fluctuation in Multi-agent System of Supermarket Chain Network.- Automated Learning.- A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach.- Learning from Average Experience.- The Inductive Inverse Kinematics Algorithm for Manipulating the Posture of an Articulated Body.- A Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting.- On the Effects of Outliers on Evolutionary Optimization.- Initialising Self-Organising Maps.- On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations.- Exploiting Heterogeneous Features for Classification Learning.- Locally Balanced Incremental Hierarchical Discriminant Regression.- A Comparative Study of Several Cluster Number Selection Criteria.- Automating Stock Prediction with Neural Network and Evolutionary Computation.- Estimation of Diffusion Parameters by a Nonparametric Drift Function Model.- Temporal Difference Coding in Reinforcement Learning.- Combination of Linear and General Regression Neural Network for Robust Short Term Financial Prediction.- Generating Explicit Self-Organizing Maps by Information Maximization.- A Clustering Approach to the Vision-Based Interface for Interactive Computer Games.- Evolution at Learning: How to Promote Generalization?.- Automatic Extraction of Moving Objects Using Distributed Genetic Algorithms.- The Approach for Data Warehouse to Answering Spatial OLAP Queries.- A Hybrid Search Algorithm of Ant Colony Optimization and Genetic Algorithm Applied to Weapon-Target Assignment Problems.- Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning.- Dynamic Construction of Category Hierarchy Using Fuzzy Relational Products.- Evolution Strategies with a Fourier Series Auxiliary Function for Difficult Function Optimization.- AD+Tree: A Compact Adaptation of Dynamic AD-Trees for Efficient Machine Learning on Large Data Sets.- Evolvable Hardware Using Genetic Programming.- Minimal Addition-Subtraction Sequences for Efficient Pre-processing in Large Window-Based Modular Exponentiation Using Genetic Algorithms.- Hybrid Recommendation: Combining Content-Based Prediction and Collaborative Filtering.- A Tolerance Concept in Data Clustering.- Power Control and Evolutionary Computation in CDMA Cellular Radio Networks.- A Novel Multiobjective Evolutionary Algorithm Based on Min-Max Strategy.- Dynamics of Gradient-Based Learning and Applications to Hyperparameter Estimation.- Nonlinear Multidimensional Data Projection and Visualisation.- Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks.- On Hadamard-Type Output Coding in Multiclass Learning.- An Adaptive Uniform Fractional Guard Channel Algorithm: A Learning Automata Approach.- Empirical Comparison between Two Computational Strategies for Topological Self-Organization.- A Novel Orthogonal Simulated Annealing Algorithm for Optimization of Electromagnetic Problems.- Diversity Control to Improve Convergence Rate in Genetic Algorithms.- A Perception Evaluation Scheme for Steganography.- Clustering Individuals in Non-vector Data and Predicting: A Novel Model-Based Approach.- A Fuzzy Multi-criteria Decision Model for Information System Security Investment.- Blind Equalization Using RBF and HOS.- A Guided Monte Carlo Approach to Optimization Problems.- Editing and Training for ALVOT, an Evolutionary Approach.- Consensus-Based Adaptive Interface Construction for Multiplatform Web Applications.- Portfolio Management for Pension Funds.- Multiple Ant Colony Optimization for Load Balancing.- Exploring Memory Access Regularity in Pointer-Intensive Application Programs.- Nonlinear Dimension Reduction via Local Tangent Space Alignment.- Bioinformatics.- System for Intelligent Processing and Recognition of Auditory Brainstem Response (ABR ) Signals.- Protein Structure Modeling Using a Spatial Model for Structure Comparison.- DNA Algorithms for Rough Set Analysis.- Input Selection and Rule Generation in Adaptive Neuro-fuzzy Inference System for Protein Structure Prediction.- Quantification of Human Brain Metabolites from In Vivo 1H NMR Magnitude Spectra Using Self-Organising Maps.- Probability Model Type Sufficiency.- Higher-Order Hidden Markov Models with Applications to DNA Sequences.- Classification of the Risk Types of Human Papillomavirus by Decision Trees.- Data Mining.- An Effective Rough Set-Based Method for Text Classification.- Abrupt Shot Change Detection Using Multiple Features and Classification Tree.- On a Lip Print Recognition by the Pattern Kernel with Multi-resolution Architecture.- A XML-Based Data Communication Solution for Program Mining.- Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design.- Extraction of Dynamic User Behaviors from Web Logs.- SEMIR: Semantic Indexing and Retrieving Web Document Using Rhetorical Structure Theory.- Generating Representative from Clusters of Association Rules on Numeric Attributes.- Grid-Based Indexing for Large Time Series Databases.- E.Coli Search: Self Replicating Agents for Web Based Information Retrieval.- An Efficient Mining Method for Incremental Updation in Large Databases.- Selectivity Estimation for Optimizing Similarity Query in Multimedia Databases.- Related Factors of Document Classification Performance in a Highly Inflectional Language.- Customer Loyalty on Recurring Loans.- Convolution Kernels for Outliers Detection in Relational Data.- Association Rule Mining Algorithms for Set-Valued Data.- A Data Mining Based Intrusion Detection Model.- Semantics Based Information Retrieval Using Conceptual Indexing of Documents.- Experiences of Using a Quantitative Approach for Mining Association Rules.- Global B+ Tree Indexing in Parallel Database Systems.- Efficient Execution of Parallel Aggregate Data Cube Queries in Data Warehouse Environments.- An Optimal Approach to Mining Boolean Functions from Noisy Data.- Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites.- Metasearch via Voting.- Peculiarity Oriented Mining in Multiple Human Brain Data.- Automatic Classification and Clustering of Caenorhabditis Elegans Using a Computer Vision System.- A Concept-Based Inter-lingua and Its Applications to Multilingual Text and Web Mining.- Flexible Decision Trees in a General Data-Mining Environment.- Developing a Directory of Search Engines for Meta-searching.- A Unified, Adjustable, and Extractable Biological Data Mining-Broker.- Nested State-Transition Graph Model of User Behaviors.- Design of Data-Mining Application Software Based on Object-Oriented Approach.- Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory.- A Virtual Join Algorithm for Fast Association Rule Mining.- Packet Filtering Using a Decision Tree Classifier.- An XML Query Mediator.- Potential Gains from Global Market Timing Involving Three or More Markets.- Incremental Condition Evaluation for Active Temporal Rules.- Automatic Webpage Classification Enhanced by Unlabeled Data.- Electricity Demand Forecasting Using Neural Networks.- An Extended Multivariate Data Visualization Approach for Interactive Feature Extraction from Manufacturing Data.- Determining the Semantic Orientation of Web-Based Corpora.- Dynamic Subspace Clustering for Very Large High-Dimensional Databases.- Spatial Information in Histograms for Shape Representation.- From Competing Associations to Justifiable Conclusions.- Line Chart Recognition and Data Extraction Technique.- List Representation Applied to Sparse Datacubes for Data Warehousing and Data Mining.- A Fast Algorithm for Incremental Principal Component Analysis.- A Database-Independent Approach of Mining Association Rules with Genetic Algorithm.- Discovering Process Models from Execution History by Graph Matching.- Constructing UML Galaxy Diagram for Conceptual Data Integration in Web Mining.- MLPCA Based Logistical Regression Analysis for Pattern Clustering in Manufacturing Processes.- Graph-Based Data Clustering: Criteria and a Customizable Approach.- Financial Engineering.- Study of United Mileage Agent in E-commerce.- Verifying the Payment Authorization in SET Protocol.- Heuristic Methods for Portfolio Selection at the Mexican Stock Exchange.- The Knowledge-Base of a B2B E-commerce Multi-agent System.- Trading Futures with the Largest Equity Drawdown Method.- Intraday Analysis of Portfolios on the ASX Using ICA.- Case-Based Reasoning: An Intelligent Approach Applied for Financial Crises Warning.- Multimedia Information.- Pattern Recognition in Classification of Intelligent Composites during Smart Manufacturing.- Fuzzy Logic Aided Gesture Recognition.- On the Choices of the Parameters in General Constrained Learning Algorithms.- Strict Monotone of an Edge Intensity Profile and a New Edge Detection Algorithm.- Model-Based Pose Estimation of Human Motion Using Orthogonal Simulated Annealing.- PCA Fuzzy Mixture Model for Speaker Identification.- GMM Based on Local Fuzzy PCA for Speaker Identification.- Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis.- Novelty Detection Approach for Keystroke Dynamics Identity Verification.- An Image Retrieval Method Based on Collaborative Filtering.- Learning Neural Network Ensemble for Practical Text Classification.- Filtering of Text Blocks in Web Images.- Towards a Terabyte Digital Library System.- A Neural System Prototype for Data Processing Using Modified Conjugate Directional Filtering (MCDF).- Prediction Error Context-Based Lossless Compression of Medical Images.- Improving Feature Extraction Performance of Greedy Network-Growing Algorithm.- Online Signature Verification Based on Dynamic Feature Segmentation and 3-Step Matching.- Investigation of ART2-Based Audio-to-Visual Conversion for Multimedia Applications.- Spatiotemporal Restoration of Regions Occluded by Text in Video Sequences.- A Non-parametric Image Segmentation Algorithm Using an Orthogonal Experimental Design Based Hill-Climbing.- A Qualitative Discriminative Cohort Speakers Method to Reduce Learning Data for MLP-Based Speaker Verification Systems.- Inheritance Transformation of XML Schemas to Object Relational Databases.- Wavelet-Based Feature Extraction from Character Images.- Illumination Invariant Shot Boundary Detection.- Modified Chamfer Matching Algorithm.- Design and Implementation of Alert Analyzer with Data Mining Engine.- Grid-Based Method for Ranking Images with Multiple Objects.- Asynchronous Messaging Using Message-Oriented-Middleware.- Improved Object Recognition The RoboCup 4-Legged League.- Objectionable Image Recognition System in Compression Domain.


Titel: Intelligent Data Engineering and Automated Learning
Untertitel: 4th International Conference, IDEAL 2003 Hong Kong, China, March 21-23, 2003 Revised Papers
EAN: 9783540405504
ISBN: 354040550X
Format: Kartonierter Einband
Herausgeber: Springer Berlin Heidelberg
Genre: Informatik
Anzahl Seiten: 1168
Gewicht: 1726g
Größe: H235mm x B155mm x T61mm
Jahr: 2003
Untertitel: Englisch
Auflage: 2003

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