Classification and Data Mining

Editors:

ISBN: 978-3-642-28893-7 (Print) 978-3-642-28894-4 (Online)

Table of contents (33 chapters)

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  1. Front Matter

    Pages i-xiv

  2. Classification and Data Analysis

    1. Front Matter

      Pages 1-1

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      Book Chapter

      Pages 3-10

      Robust Random Effects Models: A Diagnostic Approach Based on the Forward Search

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      Pages 11-18

      Joint Correspondence Analysis Versus Multiple Correspondence Analysis: A Solution to an Undetected Problem

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      Pages 19-26

      Inference on the CUB Model: An MCMC Approach

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      Pages 27-35

      Robustness Versus Consistency in Ill-Posed Classification and Regression Problems

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      Pages 37-44

      Issues on Clustering and Data Gridding

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      Pages 45-53

      Dynamic Data Analysis of Evolving Association Patterns

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      Pages 55-62

      Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition

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      Pages 63-70

      Correspondence Analysis in the Case of Outliers

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      Book Chapter

      Pages 71-79

      Variable Selection in Cluster Analysis: An Approach Based on a New Index

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      Pages 81-88

      A Model for the Clustering of Variables Taking into Account External Data

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      Book Chapter

      Pages 89-94

      Calibration with Spatial Data Constraints

  3. Data Mining

    1. Front Matter

      Pages 95-95

    2. No Access

      Book Chapter

      Pages 97-104

      Clustering Data Streams by On-Line Proximity Updating

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      Pages 105-112

      Summarizing and Detecting Structural Drifts from Multiple Data Streams

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      Book Chapter

      Pages 113-120

      A Model-Based Approach for Qualitative Assessment in Opinion Mining

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      Pages 121-129

      An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution

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      Book Chapter

      Pages 131-138

      Outlier Detection for Geostatistical Functional Data: An Application to Sensor Data

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      Book Chapter

      Pages 139-146

      Graphical Models for Eliciting Structural Information

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      Book Chapter

      Pages 147-154

      Adaptive Spectral Clustering in Molecular Simulation

  4. Applications

    1. Front Matter

      Pages 155-155

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      Book Chapter

      Pages 157-164

      Spatial Data Mining for Clustering: An Application to the Florentine Metropolitan Area Using RedCap

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      Book Chapter

      Pages 165-172

      Misspecification Resistant Model Selection Using Information Complexity with Applications

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