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Towards Advanced Data Analysis by Combining Soft Computing and Statistics

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Cover of 'Towards Advanced Data Analysis by Combining Soft Computing and Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Arithmetic and Distance-Based Approach to the Statistical Analysis of Imprecisely Valued Data
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    Chapter 2 Linear Regression Analysis for Interval-valued Data Based on Set Arithmetic: A Review
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    Chapter 3 Bootstrap Confidence Intervals for the Parameters of a Linear Regression Model with Fuzzy Random Variables
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    Chapter 4 On the Estimation of the Regression Model M for Interval Data
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    Chapter 5 Hybrid Least-Squares Regression Modelling Using Confidence Bounds
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    Chapter 6 Testing the Variability of Interval Data: An Application to Tidal Fluctuation
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    Chapter 7 Comparing the Medians of a Random Interval Defined by Means of Two Different L 1 Metrics
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    Chapter 8 Comparing the Representativeness of the 1-norm Median for Likert and Free-response Fuzzy Scales
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    Chapter 9 Fuzzy Probability Distributions in Reliability Analysis, Fuzzy HPD-regions, and Fuzzy Predictive Distributions
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    Chapter 10 SAFD — An R Package for Statistical Analysis of Fuzzy Data
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    Chapter 11 Statistical Reasoning with Set-Valued Information: Ontic vs. Epistemic Views
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    Chapter 12 Pricing of Catastrophe Bond in Fuzzy Framework
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    Chapter 13 Convergence of Heuristic-based Estimators of the GARCH Model
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    Chapter 14 Lasso–type and Heuristic Strategies in Model Selection and Forecasting
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    Chapter 15 Streaming-Data Selection for Gaussian-Process Modelling
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    Chapter 16 Change Detection Based on the Distribution of p-Values
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    Chapter 17 Advanced Analysis of Dynamic Graphs in Social and Neural Networks
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    Chapter 18 Fuzzy Hyperinference-Based Pattern Recognition
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    Chapter 19 Dynamic Data-Driven Fuzzy Modeling of Software Reliability Growth
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    Chapter 20 Dynamic Texture Recognition Based on Compression Artifacts
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    Chapter 21 The Hubness Phenomenon: Fact or Artifact?
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    Chapter 22 Proximity-Based Reference Resolution to Improve Text Retrieval
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    Chapter 23 Derivation of Linguistic Summaries is Inherently Difficult: Can Association Rule Mining Help?
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    Chapter 24 Mining Local Connectivity Patterns in fMRI Data
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    Chapter 25 Fuzzy Clustering based on Coverings
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    Chapter 26 Decision and Regression Trees in the Context of Attributes with Different Granularity Levels
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    Chapter 27 Stochastic Convergence Analysis of Metaheuristic Optimisation Techniques
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    Chapter 28 Comparison of Multi-objective Algorithms Applied to Feature Selection
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Title
Towards Advanced Data Analysis by Combining Soft Computing and Statistics
Published by
Springer Berlin Heidelberg, August 2012
DOI 10.1007/978-3-642-30278-7
ISBNs
978-3-64-230277-0, 978-3-64-230278-7
Editors

Borgelt, Christian, Gil, María Ángeles, Sousa, João M.C., Verleysen, Michel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 35%
Student > Ph. D. Student 6 26%
Researcher 2 9%
Other 1 4%
Librarian 1 4%
Other 3 13%
Unknown 2 9%
Readers by discipline Count As %
Computer Science 6 26%
Engineering 6 26%
Business, Management and Accounting 2 9%
Social Sciences 2 9%
Sports and Recreations 1 4%
Other 3 13%
Unknown 3 13%