Screen LibrarySynergies of soft computing and statistics for intelligent data analysis /
In recent years there has been a growing interest to extend classical methods for data analysis.The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.Such extensions of classical probability theory and statistics are useful in many real-life situatio...
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| Corporate Authors: | ; |
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| Group Author: | |
| Published: |
Springer,
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| Publisher Address: | Berlin ; New York : |
| Publication Dates: | 2013. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Advances in intelligent systems and computing,
190 |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-642-33042-1 |
| Summary: |
In recent years there has been a growing interest to extend classical methods for data analysis.The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness -- various types of incomplete or subjective information have to be handled.About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS).This book gathers contributions presented at the SMPS'2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis.It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics.Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems. |
| Item Description: | International conference proceedings. |
| Carrier Form: | 1 online resource. |
| Bibliography: | Includes bibliographical references and author index. |
| ISBN: |
9783642330421 (electronic bk.) 3642330428 (electronic bk.) |
| Index Number: | QA76 |
| CLC: | TP18-532 |
| Contents: |
Invited Papers -- Soft Pattern Mining in Neuroscience / Exploring Big Data with Scalable Soft Clustering / On Creative Uses of Word Associations / Foundations -- Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification / The Goodman-Nguyen Relation in Uncertainty Measurement / The CONEstrip Algorithm / Towards a Robust Imprecise Linear Deconvolution / 2D Probability-Possibility Transformations / A Note on the Convex Structure of Uncertainty Measures on MV-algebras / Cumulative Distribution Function Estimation with Fuzzy Data: Some Estimators and Further Problems / On Equations with a Fuzzy Stochastic Integral with Respect to Semimartingales / Statistical Methods -- A Linear Regression Model for Interval-Valued Response Based on Set Arithmetic / A Proposal of Robust Regression for Random Fuzzy Sets / Bootstrap Comparison of Statistics for Testing the Homoscedasticity of Random Fuzzy Sets / Fuzzy Rating vs. Fuzzy Conversion Scales: An Empirical Comparison through the MSE / A Law of Large Numbers for Exchangeable Random Variables on Nonadditive Measures / Credibility Theory Oriented Sign Test for Imprecise Observations and Imprecise Hypotheses / A Note on Large Deviations of Random Sets and Random Upper Semicontinuous Functions / Conditional Density Estimation Using Fuzzy GARCH Models / LP Methods for Fuzzy Regression and a New Approach / Fuzzy Least Squares Estimation with New Fuzzy Operations / Efficient Calculation of Kendall's [tau] for Interval Data / Continuous Gaussian Estimation of Distribution Algorithm / Regional Spatial Analysis Combining Fuzzy Clustering and Non-parametric Correlation / The p-value Line: A Way to Choose from Different Test Results / Outlier Detection in High Dimension Using Regularization / Robust Diagnostics of Fuzzy Clustering Results Using the Compositional Approach / Rank Tests under Uncertainty: Regression and Local Heteroscedasticity / Robustness Issues in Text Mining / An Alternative Approach to the Median of a Random Interval Using an L2 Metric / Comparing Classical and Robust Sparse PCA / An Exact Algorithm for Likelihood-Based Imprecise Regression in the Case of Simple Linear Regression with Interval Data / Mathematical Aspects -- Evolution of the Dependence of Residual Lifetimes / A Spatial Contagion Test for Financial Markets / On Copulas and Differential Inclusions / An Analytical Characterization of the Exchangeable Wide-Sense Geometric Law / HMM and HAC / Some Smoothing Properties of the Star Product of Copulas / Statistical Hypothesis Test for the Difference between Hirsch Indices of Two Pareto-Distributed Random Samples / How to Introduce Fuzzy Rationality Measures and Fuzzy Revealed Preferences into a Discrete Choice Model / Fuzzy Rule-Based Ensemble Forecasting: Introductory Study / Hybrid Models: Probabilistic and Fuzzy Information / Conjunction, Disjunction and Iterated Conditioning of Conditional Events / Ockham's Razor in Probability Logic / Conglomerable Coherent Lower Previsions / Evidential Networks from a Different Perspective / Engineering -- Generalised Median Polish Based on Additive Generators / Grasping the Content of Web Servers Logs: A Linguistic Summarization Approach / Automatic Tuning of Image Segmentation Parameters by Means of Fuzzy Feature Evaluation / Modified Sequential Forward Selection Applied to Predicting Septic Shock Outcome in the Intensive Care Unit / Possibilistic Local Structure for Compiling Min-Based Networks / Nai ve Bayes Ant Colony Optimization for Experimental Design / Inferences in Binary Regression Models for Independent Data with Measurement Errors in Covariates / Multi-dimensional Failure Probability Estimation in Automotive Industry Based on Censored Warranty Data / Resolution of Inconsistent Revision Problems in Markov Networks / Analysis of Dynamic Brain Networks Using VAR Models / Visualising Temporal Item Sets: Guided Drill-Down with Hierarchical Attributes / Bayesian Block-Diagonal Predictive Classifier for Gaussian Data / Stochastic Measure of Informativity and Its Application to the Task of Stable Extraction of Features / Clustering on Dynamic Social Network Data / Merging Partitions Using Similarities of Anchor Subsets / |