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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Leung, Kwong S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Chan, Lai-wan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Meng, Helen (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
• Έκδοση: 1st ed. 2000.
• Σειρά: Lecture Notes in Computer Science, 1983
• Θέματα: Data structures (Computer science).; Artificial intelligence.; Information storage and retrieval.; Application software.; Multimedia information systems.; Information technology.; Business-Data processing.; Data Structures and Information Theory.; Artificial Intelligence.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Multimedia Information Systems.; IT in Business.

X Table of Contents Table of Contents XI XII Table of Contents Table of Contents XIII XIV Table of Contents Table of Contents XV XVI Table of Contents K.S. Leung, L.-W. Chan, and H. Meng (Eds.): IDEAL 2000, LNCS 1983, pp. 3›8, 2000. Springer-Verlag Berlin Heidelberg 2000 4 J. Sinkkonen and S. Kaski...

Πίνακας περιεχομένων:

• Data Mining and Automated Learning
• Clustering by Similarity in an Auxiliary Space
• Analyses on the Generalised Lotto-Type Competitive Learning
• Extended K-means with an Efficient Estimation of the Number of Clusters
• An Interactive Approach to Building Classiffication Models by Clustering and Cluster Validation
• A New Distributed Algorithm for Large Data Clustering
• A NEW NONHIERARCHICAL CLUSTERING PROCEDURE FOR SYMBOLIC OBJECTS
• Quantization of Continuous Input Variables for Binary Classification
• Information-Based Classification by Aggregating Emerging Patterns
• Boosting the Margin Distribution
• Detecting a Compact Decision Tree Based on an Appropriate Abstraction
• A New Algorithm to Select Learning Examples from Learning Data
• Data Ranking Based on Spatial Partitioning
• Logical Decision Rules: Teaching C4.5 to Speak Prolog
• Visualisation of Temporal Interval Association Rules
• Lithofacies Characteristics Discovery from Well Log Data Using Association Rules
• Fuzzy Hydrocyclone Modelling for Particle Separation Using Fuzzy Rule Interpolation
• A Data-Driven Fuzzy Approach to Robot Navigation Among Moving Obstacles
• Best Harmony Learning
• Observational Learning with Modular Networks
• Finding Essential Attributes in Binary Data
• A Heuristic Optimal Reduct Algorithm
• A Note on Learning Automata Based Schemes for Adaptation of BP Parameters
• A Note on Covariances for Categorical Data
• A General Class of Neural Networks for Principal Component Analysis and Factor Analysis
• Generalised Canonical Correlation Analysis
• Integrating KPCA with an Improved Evolutionary Algorithm for Knowledge Discovery in Fault Diagnosis
• Temporal Data Mining Using Multilevel-Local Polynomial Models
• First Experiments for Mining Sequential Patterns on Distributed Sites with Multi-Agents
• Nonlinear and Noisy Time Series Prediction Using a Hybrid Nonlinear Neural Predictor
• Genetic Programming Prediction of Solar Activity
• Interpretation of the Richardson Plot in Time Series Representation
• Financial Engineering
• Wavelet Methods in PDE Valuation of Financial Derivatives
• Fast Algorithms for Computing Corporate Default Probabilities
• Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation
• Applying Mutual Information to Adaptive Mixture Models
• Stability Analysis of Financial Ratios
• Modeling of the German Yield Curve by Error Correction Neural Networks
• Feature Selection for Support Vector Machines in Financial Time Series Forecasting
• ?-Descending Support Vector Machines for Financial Time Series Forecasting
• Classifying Market States with WARS
• "Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network
• Intelligent Agents
• A Computational Framework for Convergent Agents
• Multi-agent Integer Programming
• Building an Ontology for Financial Investment
• A Multi-Agent Negotiation Algorithm for Load Balancing in CORBA-Based Environment
• Existence of Minority in Multi-Agent Systems using Voronoi Tessellation
• Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning
• A Probabilistic Agent Approach to the Trafic Jam Problem
• Round-Table Architecture for Communication in Multi-agent Softbot Systems
• Mobile Agents for Reliable Migration in Networks
• Internet Applications
• A Construction of the Adapted Ontology Server in EC
• A Design and Implementation of Cyber Banking Process and Settlement System for Internet Commerce
• A Shopping Agent That Automatically Constructs Wrappers for Semi-Structured Online Vendors
• Real-time Web Data Mining and Visualisation
• Web Guide: Filtering and Constraining Site Browsing through Web Walker Techniques
• Topic Spotting on News Articles with Topic Repository by Controlled Indexing
• Validating the Behavior of Self-Interested Agents in an Information Market Scenario
• Discovering User Behavior Patterns in Personalized Interface Agents
• An Agent-Based Personalized Search on a Multi-search Engine Based on Internet Search Service
• A Case-Based Transformation from HTML to XML
• Persistent DOM: An architecture for XML repositories in relational databases
• Multimedia Processing
• Automatic News Video Caption Extraction and Recognition
• Advanced Multilevel Successive Elimination Algorithms for Motion Estimation in Video Coding
• News Content Highlight via Fast Caption Text Detection on Compressed Video
• Texture-based Text Location for Video Indexing
• Video Segmentation by Two Measures and Two Thresholds
• Ink Retrieval from Handwritten Documents
• An Off-Line Recognizer for Hand-Written Chinese Characters
• Bayesian Learning for Image Retrieva Using Multiple Features
• A Content-Based Image Retrieval Method Using Third- Order Color Feature Relations
• Hierarchical Discriminant Regression for Incremental and Real-Time Image Classification
• Distinguishing Real and Virtual Edge Intersection in Pairs of Uncalibrated Images
• Stereo Correspondence Using GA-Based Segmentation
• Special Sessions
• How Adaptive Agents in Stock Market Perform in the Presence of Random News: A Genetic Algorithm Approach
• Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data
• Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming
• Combining Ordinal Financial Predictions with Genetic Programming
• Applying Independent Component Analysis to Factor Model in Finance
• Web-Based Cluster Analysis System for China and Hong Kong's Stock Market
• Arbitrage-Free Asset Pricing in General State Space
• A Tabu Search Based Algorithm for Clustering Categorical Data Sets
• A New Methodology to Compare Algorithms.