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Computational Intelligence in Intelligent Data Analysis

Overview of attention for book
Cover of 'Computational Intelligence in Intelligent Data Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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?
  5. Altmetric Badge
    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
  14. Altmetric Badge
    Chapter 13 Computational Intelligence in Intelligent Data Analysis
  15. Altmetric Badge
    Chapter 14 Comprehensiveness of Linguistic Data Summaries: A Crucial Role of Protoforms
  16. Altmetric Badge
    Chapter 15 Listening to the Voice of the Customers: An Early Warning System Based on Sentiment
  17. Altmetric Badge
    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
  21. Altmetric Badge
    Chapter 20 Computational Intelligence in Air Traffic Management
  22. Altmetric Badge
    Chapter 21 About Rudolf Kruse and His Research Group on Computational Intelligence
Attention for Chapter 8: Safe and Interpretable Machine Learning: A Methodological Review
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
57 Mendeley
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Chapter title
Safe and Interpretable Machine Learning: A Methodological Review
Chapter number 8
Book title
Computational Intelligence in Intelligent Data Analysis
Published in
Studies in Computational Intelligence, February 2016
DOI 10.1007/978-3-642-32378-2_8
Book ISBNs
978-3-64-232377-5, 978-3-64-232378-2
Authors

Clemens Otte, Otte, Clemens

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 4%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Student > Master 13 23%
Researcher 9 16%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 6 11%
Unknown 7 12%
Readers by discipline Count As %
Computer Science 34 60%
Engineering 6 11%
Mathematics 2 4%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 5%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 January 2014.
All research outputs
#3,922,282
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#65,427
of 408,661 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 408,661 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them