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Feature Selection for Data and Pattern Recognition

Overview of attention for book
Cover of 'Feature Selection for Data and Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Feature Selection for Data and Pattern Recognition: An Introduction
  3. Altmetric Badge
    Chapter 2 All Relevant Feature Selection Methods and Applications
  4. Altmetric Badge
    Chapter 3 Feature Evaluation by Filter, Wrapper, and Embedded Approaches
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    Chapter 4 A Geometric Approach to Feature Ranking Based Upon Results of Effective Decision Boundary Feature Matrix
  6. Altmetric Badge
    Chapter 5 Weighting of Features by Sequential Selection
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    Chapter 6 Dependency Analysis and Attribute Reduction in the Probabilistic Approach to Rough Sets
  8. Altmetric Badge
    Chapter 7 Structure-Based Attribute Reduction: A Rough Set Approach
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    Chapter 8 A Comparison of Rule Induction Using Feature Selection and the LEM2 Algorithm
  10. Altmetric Badge
    Chapter 9 Meta-actions as a Tool for Action Rules Evaluation
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    Chapter 10 Irrelevant Feature and Rule Removal for Structural Associative Classification Using Structure-Preserving Flat Representation
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    Chapter 11 Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series
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    Chapter 12 Selection of Visual Descriptors for the Purpose of Multi-camera Object Re-identification
  14. Altmetric Badge
    Chapter 13 Improving the Recognition Performance of Moment Features by Selection
  15. Altmetric Badge
    Chapter 14 Signature Selection for Grouped Features with a Case Study on Exon Microarrays
Attention for Chapter 14: Signature Selection for Grouped Features with a Case Study on Exon Microarrays
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  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

patent
1 patent

Citations

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79 Dimensions

Readers on

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5 Mendeley
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Chapter title
Signature Selection for Grouped Features with a Case Study on Exon Microarrays
Chapter number 14
Book title
Feature Selection for Data and Pattern Recognition
Published in
Studies in Computational Intelligence, January 2015
DOI 10.1007/978-3-662-45620-0_14
Book ISBNs
978-3-66-245619-4, 978-3-66-245620-0
Authors

Sangkyun Lee, Lee, Sangkyun

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Bachelor 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Physics and Astronomy 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 December 2020.
All research outputs
#8,820,267
of 26,187,546 outputs
Outputs from Studies in Computational Intelligence
#82
of 409 outputs
Outputs of similar age
#111,139
of 361,811 outputs
Outputs of similar age from Studies in Computational Intelligence
#7
of 20 outputs
Altmetric has tracked 26,187,546 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 409 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 361,811 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.