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 / edited by Kwong S. Leung, Lai-wan Chan, Helen Meng.

Format:

Book

Contributor:

Leung, Kwong S., editor.

Chan, Lai-wan, editor.

Meng, Helen, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 1983.

Lecture Notes in Computer Science, 0302-9743 ; 1983

Language:

English

Subjects (All):

Data structures (Computer science).

Artificial intelligence.

Information storage and retrieval.

Application software.

Multimedia systems.

Information technology.

Business--Data processing.

Business.

Data Structures and Information Theory.

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Multimedia Information Systems.

IT in Business.

Local Subjects:

Data Structures and Information Theory.

Artificial Intelligence.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Multimedia Information Systems.

IT in Business.

Physical Description:

1 online resource (XVI, 580 pages).

Edition:

First edition 2000.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.

System Details:

text file PDF

Summary:

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 Clustering by Similarity in an Auxiliary Space 5 6 J. Sinkkonen and S. Kaski Clustering by Similarity in an Auxiliary Space 7 0.6 1.5 0.4 1 0.2 0.5 0 0 10 100 1000 10000 10 100 1000 Mutual information (bits) Mutual information (bits) 8 J. Sinkkonen and S. Kaski 20 10 0 0.1 0.3 0.5 0.7 Mutual information (mbits) Analyses on the Generalised Lotto-Type Competitive Learning Andrew Luk St B&P Neural Investments Pty Limited, Australia Abstract, In generalised lotto-type competitive learning algorithm more than one winner exist. The winners are divided into a number of tiers (or divisions), with each tier being rewarded differently. All the losers are penalised (which can be equally or differently). In order to study the various properties of the generalised lotto-type competitive learning, a set of equations, which governs its operations, is formulated. This is then used to analyse the stability and other dynamic properties of the generalised lotto-type competitive learning.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-540-44491-6

9783540444916

Access Restriction:

Restricted for use by site license.