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Synergies of soft computing and statistics for intelligent data analysis

Author: Rudolf Kruse
Publisher: Berlin ; New York : Springer, ©2013.
Series: Advances in intelligent systems and computing, 190.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
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  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Rudolf Kruse
ISBN: 9783642330421 3642330428
OCLC Number: 811249949
Description: 1 online resource.
Contents: Part 1. Invited Papers --
Soft Pattern Mining in Neuroscience / Christian Borgelt --
Exploring Big Data with Scalable Soft Clustering / Lawrence O. Hall --
On Creative Uses of Word Associations / Hannu Toivonen, Oskar Gross, Jukka M. Toivanen and Alessandro Valitutti. Part 2. Foundations --
Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification / Sébastien Destercke and Violaine Antoine --
The Goodman-Nguyen Relation in Uncertainty Measurement / Renato Pelessoni and Paolo Vicig --
The CONEstrip Algorithm / Erik Quaeghebeur --
Towards a Robust Imprecise Linear Deconvolution / Oliver Strauss and Agnes Rico --
2D Probability-Possibility Transformations / Alessandro Ferrero, Marco Prioli, Simona Salicone and Barbara Vantaggi --
A Note on the Convex Structure of Uncertainty Measures on MV-algebras / Tommaso Flaminio and Lluís Godo Lacasa --
Cumulative Distribution Function Estimation with Fuzzy Data: Some Estimators and Further Problems / Xuecheng Liu and Shoumei Li --
On Equations with a Fuzzy Stochastic Integral with Respect to Semimartingales / Marek T. Malinowski. Part 3. Statistical Methods --
A Linear Regression Model for Interval-Valued Response Based on Set Arithmetic / Angela Blanco-Fernández, Ana Colubi, Marta García-Bárzana and Manuel Montenegro --
A Proposal of Robust Regression for Random Fuzzy Sets / Maria Brigida Ferraro and Paolo Giordani --
Bootstrap Comparison of Statistics for Testing the Homoscedasticity of Random Fuzzy Sets / Ana Belén Ramos-Guajardo, María Asunción Lubiano and Gil González-Rodríguez --
Fuzzy Rating vs. Fuzzy Conversion Scales: An Empirical Comparison through the MSE / Sara de la Rosa de Sáa, María Ángeles Gil, María Teresa López García and María Asunción Lubiano --
A Law of Large Numbers for Exchangeable Random Variables on Nonadditive Measures / Li Guan and Shoumei Li --
Credibility Theory Oriented Sign Test for Imprecise Observations and Imprecise Hypotheses / Gholamreza Hesamian and Seyed Mahmood Taheri --
A Note on Large Deviations of Random Sets and Random Upper Semicontinuous Functions / Xia Wang --
Conditional Density Estimation Using Fuzzy GARCH Models / Rui Jorge Almeida, Nalan Baştürk, Uzay Kaymak and João Miguel da Costa Sousa --
LP Methods for Fuzzy Regression and a New Approach / Bekir Çetintav and Firat Özdemir --
Fuzzy Least Squares Estimation with New Fuzzy Operations / Jin Hee Yoon and Seung Hoe Choi --
Efficient Calculation of Kendall's [tau] for Interval Data / Olgierd Hryniewicz and Karol Opara --
Continuous Gaussian Estimation of Distribution Algorithm / Shahram Shahraki and Mohammad Reza Akbarzadeh Tutunchy --
Regional Spatial Analysis Combining Fuzzy Clustering and Non-parametric Correlation / Bülent Tütmez and Uzay Kaymak --
The p-value Line: A Way to Choose from Different Test Results / Alfonso García-Pérez --
Outlier Detection in High Dimension Using Regularization / Moritz Gschwandtner and Peter Filzmoser --
Robust Diagnostics of Fuzzy Clustering Results Using the Compositional Approach / Karel Hron and Peter Filzmoser --
Rank Tests under Uncertainty: Regression and Local Heteroscedasticity / Jana Jurečková and Radim Navrátil --
Robustness Issues in Text Mining / Marco Turchi, Domenico Perrotta, Marco Riani and Andrea Cerioli --
An Alternative Approach to the Median of a Random Interval Using an L2 Metric / Beatriz Sinova, Gil González-Rodríguez and Stefan Van Aelst --
Comparing Classical and Robust Sparse PCA / Valentin Todorov and Peter Filzmoser --
An Exact Algorithm for Likelihood-Based Imprecise Regression in the Case of Simple Linear Regression with Interval Data / Andrea Wiencierz and Marco E.G.V. Cattaneo. Part 4. Mathematical Aspects --
Evolution of the Dependence of Residual Lifetimes / Fabrizio Durante and Rachele Foschi --
A Spatial Contagion Test for Financial Markets / Fabrizio Durante, Enrico Foscolo and Miroslav Sabo --
On Copulas and Differential Inclusions / Piotr Jaworski --
An Analytical Characterization of the Exchangeable Wide-Sense Geometric Law / Jan-Frederik Mai, Matthias Scherer and Natalia Shenkman --
HMM and HAC / Weining Wang, Ostap Okhrin and Wolfgang Karl Härdle --
Some Smoothing Properties of the Star Product of Copulas / Wolfgang Trutschnig --
Statistical Hypothesis Test for the Difference between Hirsch Indices of Two Pareto-Distributed Random Samples / Marek Gagolewski --
How to Introduce Fuzzy Rationality Measures and Fuzzy Revealed Preferences into a Discrete Choice Model / Davide Martinetti, Antonio Lucadamo and Susana Montes --
Fuzzy Rule-Based Ensemble Forecasting: Introductory Study / David Sikora, Martin Štěpnička and Lenka Vavříčková --
Hybrid Models: Probabilistic and Fuzzy Information / Giulianella Coletti and Barbara Vantaggi --
Conjunction, Disjunction and Iterated Conditioning of Conditional Events / Angelo Gilio and Giuseppe Sanfilippo --
Ockham's Razor in Probability Logic / Gernot D. Kleiter --
Conglomerable Coherent Lower Previsions / Enrique Miranda and Marco Zaffalon --
Evidential Networks from a Different Perspective / Jiřina Vejnarová. Part 5. Engineering --
Generalised Median Polish Based on Additive Generators / Balasubramaniam Jayaram and Frank Klawonn --
Grasping the Content of Web Servers Logs: A Linguistic Summarization Approach / Janusz Kacprzyk and Sławomir Zadrożny --
Automatic Tuning of Image Segmentation Parameters by Means of Fuzzy Feature Evaluation / Arif ul Maula Khan, Ralf Mikut, Brigitte Schweitzer, Carsten Weiss and Markus Reischl --
Modified Sequential Forward Selection Applied to Predicting Septic Shock Outcome in the Intensive Care Unit / Rúben Duarte Pereira, João Sousa, Susana Vieira, Shane Reti and Stan Finkelstein --
Possibilistic Local Structure for Compiling Min-Based Networks / Raouia Ayachi, Nahla Ben Amor and Salem Benferhat --
Naïve Bayes Ant Colony Optimization for Experimental Design / Matteo Borrotti and Irene Poli --
Inferences in Binary Regression Models for Independent Data with Measurement Errors in Covariates / Vandna Jowaheer, Brajendra C. Sutradhar and Zhaozhi Fan --
Multi-dimensional Failure Probability Estimation in Automotive Industry Based on Censored Warranty Data / Mark Last, Alexandra Zhmudyak, Hezi Halpert and Sugato Chakrabarty --
Resolution of Inconsistent Revision Problems in Markov Networks / Aljoscha Klose, Jan Wendler, Jörg Gebhardt and Heinz Detmer --
Analysis of Dynamic Brain Networks Using VAR Models / Christian Moewes, Rudolf Kruse and Bernhard A. Sabel --
Visualising Temporal Item Sets: Guided Drill-Down with Hierarchical Attributes / Fabian Schmidt and Martin Spott --
Bayesian Block-Diagonal Predictive Classifier for Gaussian Data / Jukka Corander, Timo Koski, Tatjana Pavlenko and Annika Tillander --
Stochastic Measure of Informativity and Its Application to the Task of Stable Extraction of Features / Alexander Lepskiy --
Clustering on Dynamic Social Network Data / Pascal Held and Kai Dannies --
Merging Partitions Using Similarities of Anchor Subsets / Thomas A. Runkler.
Series Title: Advances in intelligent systems and computing, 190.
Responsibility: Rudolf Kruse [and others] (eds.).
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Abstract:

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.

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