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Advances in Intelligent Data Analysis

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Cover of 'Advances in Intelligent Data Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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
  40. Altmetric Badge
    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
Attention for Chapter 20: Supervised Classification Problems: How to Be Both Judge and Jury
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Chapter title
Supervised Classification Problems: How to Be Both Judge and Jury
Chapter number 20
Book title
Advances in Intelligent Data Analysis
Published in
Lecture notes in computer science, January 1999
DOI 10.1007/3-540-48412-4_20
Book ISBNs
978-3-54-066332-4, 978-3-54-048412-7
Authors

Mark G. Kelly, David J. Hand, Niall M. Adams, Kelly, Mark G., Hand, David J., Adams, Niall M.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Lecturer > Senior Lecturer 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Computer Science 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 September 2012.
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#20,167,959
of 22,679,690 outputs
Outputs from Lecture notes in computer science
#6,982
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Outputs of similar age
#96,986
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Outputs of similar age from Lecture notes in computer science
#18
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