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Synergies of Soft Computing and Statistics for Intelligent Data Analysis

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Cover of 'Synergies of Soft Computing and Statistics for Intelligent Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Soft Pattern Mining in Neuroscience
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    Chapter 2 Exploring Big Data with Scalable Soft Clustering
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    Chapter 3 On Creative Uses of Word Associations
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    Chapter 4 Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification
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    Chapter 5 The Goodman-Nguyen Relation in Uncertainty Measurement
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    Chapter 6 The CONEstrip Algorithm
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    Chapter 7 Towards a Robust Imprecise Linear Deconvolution
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    Chapter 8 2D Probability-Possibility Transformations
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    Chapter 9 A Note on the Convex Structure of Uncertainty Measures on MV-algebras
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    Chapter 10 Cumulative Distribution Function Estimation with Fuzzy Data: Some Estimators and Further Problems
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    Chapter 11 On Equations with a Fuzzy Stochastic Integral with Respect to Semimartingales
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    Chapter 12 A Linear Regression Model for Interval-Valued Response Based on Set Arithmetic
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    Chapter 13 A Proposal of Robust Regression for Random Fuzzy Sets
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    Chapter 14 Bootstrap Comparison of Statistics for Testing the Homoscedasticity of Random Fuzzy Sets
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    Chapter 15 Fuzzy Rating vs. Fuzzy Conversion Scales: An Empirical Comparison through the MSE
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    Chapter 16 A Law of Large Numbers for Exchangeable Random Variables on Nonadditive Measures
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    Chapter 17 Credibility Theory Oriented Sign Test for Imprecise Observations and Imprecise Hypotheses
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    Chapter 18 A Note on Large Deviations of Random Sets and Random Upper Semicontinuous Functions
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    Chapter 19 Conditional Density Estimation Using Fuzzy GARCH Models
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    Chapter 20 LP Methods for Fuzzy Regression and a New Approach
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    Chapter 21 Fuzzy Least Squares Estimation with New Fuzzy Operations
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    Chapter 22 Efficient Calculation of Kendall’s τ for Interval Data
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    Chapter 23 Continuous Gaussian Estimation of Distribution Algorithm
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    Chapter 24 Regional Spatial Analysis Combining Fuzzy Clustering and Non-parametric Correlation
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    Chapter 25 The p-value Line: A Way to Choose from Different Test Results
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    Chapter 26 Outlier Detection in High Dimension Using Regularization
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    Chapter 27 Robust Diagnostics of Fuzzy Clustering Results Using the Compositional Approach
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    Chapter 28 Rank Tests under Uncertainty: Regression and Local Heteroscedasticity
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    Chapter 29 Robustness Issues in Text Mining
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    Chapter 30 An Alternative Approach to the Median of a Random Interval Using an L 2 Metric
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    Chapter 31 Comparing Classical and Robust Sparse PCA
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    Chapter 32 An Exact Algorithm for Likelihood-Based Imprecise Regression in the Case of Simple Linear Regression with Interval Data
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    Chapter 33 Evolution of the Dependence of Residual Lifetimes
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    Chapter 34 A Spatial Contagion Test for Financial Markets
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    Chapter 35 On Copulas and Differential Inclusions
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    Chapter 36 An Analytical Characterization of the Exchangeable Wide-Sense Geometric Law
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    Chapter 37 HMM and HAC
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    Chapter 38 Some Smoothing Properties of the Star Product of Copulas
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    Chapter 39 Statistical Hypothesis Test for the Difference between Hirsch Indices of Two Pareto-Distributed Random Samples
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    Chapter 40 How to Introduce Fuzzy Rationality Measures and Fuzzy Revealed Preferences into a Discrete Choice Model
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    Chapter 41 Fuzzy Rule-Based Ensemble Forecasting: Introductory Study
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    Chapter 42 Hybrid Models: Probabilistic and Fuzzy Information
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    Chapter 43 Conjunction, Disjunction and Iterated Conditioning of Conditional Events
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    Chapter 44 Ockham’s Razor in Probability Logic
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    Chapter 45 Conglomerable Coherent Lower Previsions
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    Chapter 46 Evidential Networks from a Different Perspective
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    Chapter 47 Generalised Median Polish Based on Additive Generators
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    Chapter 48 Grasping the Content of Web Servers Logs: A Linguistic Summarization Approach
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    Chapter 49 Automatic Tuning of Image Segmentation Parameters by Means of Fuzzy Feature Evaluation
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    Chapter 50 Modified Sequential Forward Selection Applied to Predicting Septic Shock Outcome in the Intensive Care Unit
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    Chapter 51 Possibilistic Local Structure for Compiling Min-Based Networks
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    Chapter 52 Naïve Bayes Ant Colony Optimization for Experimental Design
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    Chapter 53 Inferences in Binary Regression Models for Independent Data with Measurement Errors in Covariates
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    Chapter 54 Multi-dimensional Failure Probability Estimation in Automotive Industry Based on Censored Warranty Data
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    Chapter 55 Resolution of Inconsistent Revision Problems in Markov Networks
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    Chapter 56 Analysis of Dynamic Brain Networks Using VAR Models
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    Chapter 57 Visualising Temporal Item Sets: Guided Drill-Down with Hierarchical Attributes
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    Chapter 58 Bayesian Block-Diagonal Predictive Classifier for Gaussian Data
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    Chapter 59 Stochastic Measure of Informativity and Its Application to the Task of Stable Extraction of Features
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    Chapter 60 Clustering on Dynamic Social Network Data
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    Chapter 61 Merging Partitions Using Similarities of Anchor Subsets
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Title
Synergies of Soft Computing and Statistics for Intelligent Data Analysis
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-33042-1
ISBNs
978-3-64-233041-4, 978-3-64-233042-1
Authors

Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz

Editors

Kruse, Rudolf, Berthold, Michael R., Moewes, Christian, Gil, María Ángeles, Grzegorzewski, Przemysław, Hryniewicz, Olgierd

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Brazil 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 37%
Student > Master 4 13%
Researcher 4 13%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 5 17%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 10 33%
Mathematics 5 17%
Engineering 4 13%
Social Sciences 2 7%
Agricultural and Biological Sciences 1 3%
Other 2 7%
Unknown 6 20%