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Computational Intelligence in Intelligent Data Analysis

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Cover of 'Computational Intelligence in Intelligent Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Objective Functions for Fuzzy Clustering
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    Chapter 2 Efficient Learning of Classifiers Based on the 2-Additive Choquet Integral
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    Chapter 3 Can Fuzzy Clustering Avoid Local Minima and Undesired Partitions?
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    Chapter 4 Optimal Control Based on Fuzzy Logic
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    Chapter 5 Kernel Based Defuzzification
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    Chapter 6 The Algorithm Selection Problem on the Continuous Optimization Domain
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    Chapter 7 Neuro-fuzzy Systems: A Short Historical Review
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    Chapter 8 Safe and Interpretable Machine Learning: A Methodological Review
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    Chapter 9 Science Visions, Science Fiction and the Roots of Computational Intelligence
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    Chapter 10 Markov Network Revision: On the Handling of Inconsistencies
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    Chapter 11 Feedback-Driven Design of Normalization Techniques for Biological Images Using Fuzzy Formulation of a Priori Knowledge
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    Chapter 12 Exploring Time Series of Patterns: Guided Drill-Down in Hierarchies Using Change Mining on Frequent Item Sets
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    Chapter 13 Computational Intelligence in Intelligent Data Analysis
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    Chapter 14 Comprehensiveness of Linguistic Data Summaries: A Crucial Role of Protoforms
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    Chapter 15 Listening to the Voice of the Customers: An Early Warning System Based on Sentiment
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    Chapter 16 Computational Intelligence to Recognize Animal Vocalization and Diagnose Animal Health Status
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    Chapter 17 Applications of Intelligent Data Analysis for the Discovery of Gene Regulatory Networks
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    Chapter 18 From Spatial Data Mining in Precision Agriculture to Environmental Data Mining
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    Chapter 19 Real-Time Data Mining with In-Memory Database Technology
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    Chapter 20 Computational Intelligence in Air Traffic Management
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    Chapter 21 About Rudolf Kruse and His Research Group on Computational Intelligence
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Citations

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Title
Computational Intelligence in Intelligent Data Analysis
Published by
Springer Berlin Heidelberg, August 2012
DOI 10.1007/978-3-642-32378-2
ISBNs
978-3-64-232377-5, 978-3-64-232378-2
Editors

Moewes, Christian, Nürnberger, Andreas

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 %
India 1 4%
Italy 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Student > Ph. D. Student 6 26%
Student > Bachelor 2 9%
Professor 2 9%
Researcher 2 9%
Other 4 17%
Readers by discipline Count As %
Computer Science 8 35%
Engineering 6 26%
Business, Management and Accounting 2 9%
Unspecified 2 9%
Environmental Science 1 4%
Other 4 17%