Advances in Intelligent Data Analysis

Table of Contents

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   Book Overview
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   Chapter 1 From Theoretical Learnability to Statistical Measures of the Learnable
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   Chapter 2 ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis
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   Chapter 3 A “Top-Down and Prune” Induction Scheme for Constrained Decision Committees
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   Chapter 4 Mining Clusters with Association Rules
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   Chapter 5 Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series
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   Chapter 6 The Biases of Decision Tree Pruning Strategies
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   Chapter 7 Feature Selection as Retrospective Pruning in Hierarchical Clustering
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   Chapter 8 Advances in Intelligent Data Analysis
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    Chapter 9 Learning Elements of Representations for Redescribing Robot Experiences
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    Chapter 10 “Seeing“ Objects in Spatial Datasets
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    Chapter 11 Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic
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    Chapter 12 Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings
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    Chapter 13 Knowledge-Based Visualization to Support Spatial Data Mining
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    Chapter 14 Probabilistic Topic Maps: Navigating through Large Text Collections
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    Chapter 15 3D Grand Tour for Multidimensional Data and Clusters
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    Chapter 16 A Decision Tree Algorithm for Ordinal Classification
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    Chapter 17 Discovering Dynamics Using Bayesian Clustering
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    Chapter 18 Integrating Declarative Knowledge in Hierarchical Clustering Tasks
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    Chapter 19 Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization
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    Chapter 20 Supervised Classification Problems: How to Be Both Judge and Jury
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    Chapter 21 Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification
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    Chapter 22 Exploiting Similarity for Supporting Data Analysis and Problem Solving
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    Chapter 23 Multiple Prototype Model for Fuzzy Clustering
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    Chapter 24 A Comparison of Genetic Programming Variants for Data Classification
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    Chapter 25 Fuzzy Clustering Based on Modified Distance Measures
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    Chapter 26 Building Classes in Object-Based Languages by Automatic Clustering
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    Chapter 27 Adjusted Estimation for the Combination of Classifiers
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    Chapter 28 Data-Driven Theory Refinement Using KBDistAl
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    Chapter 29 Reasoning about Input-Output Modeling of Dynamical Systems
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    Chapter 30 Undoing Statistical Advice
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    Chapter 31 A Method for Temporal Knowledge Conversion
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    Chapter 32 Intrusion Detection through Behavioral Data
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    Chapter 33 Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry
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    Chapter 34 Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees
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    Chapter 35 Pump Failure Detection Using Support Vector Data Descriptions
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    Chapter 36 Data Mining for the Detection of Turning Points in Financial Time Series
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    Chapter 37 Computer-Assisted Classification of Legal Abstracts
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    Chapter 38 Sequential Control Logic Inferring Method from Observed Plant I/O Data
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    Chapter 39 Evaluating an Eye Screening Test
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    Chapter 40 Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure
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    Chapter 41 Exploiting Structural Information for Text Classification on the WWW
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    Chapter 42 Multi-agent Web Information Retrieval: Neural Network Based Approach
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    Chapter 43 Adaptive Information Filtering Algorithms
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    Chapter 44 A Conceptual Graph Approach for Video Data Representation and Retrieval