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Trends and Applications in Knowledge Discovery and Data Mining

Overview of attention for book
Cover of 'Trends and Applications in Knowledge Discovery and Data Mining'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards a New Evolutionary Subsampling Technique for Heuristic Optimisation of Load Disaggregators
  3. Altmetric Badge
    Chapter 2 Neural Choice by Elimination via Highway Networks
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    Chapter 3 Attribute Selection and Classification of Prostate Cancer Gene Expression Data Using Artificial Neural Networks
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    Chapter 4 An Improved Self-Structuring Neural Network
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    Chapter 5 Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification
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    Chapter 6 Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules
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    Chapter 7 Predicting Phone Usage Behaviors with Sensory Data Using a Hierarchical Generative Model
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    Chapter 8 Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions
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    Chapter 9 Rigidly Self-Expressive Sparse Subspace Clustering
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    Chapter 10 Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors
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    Chapter 11 Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes
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    Chapter 12 Phishing Detection on Twitter Streams
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    Chapter 13 Image Segmentation with Superpixel Based Covariance Descriptor
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    Chapter 14 Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals
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    Chapter 15 Event Prediction in Healthcare Analytics: Beyond Prediction Accuracy
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    Chapter 16 Clinical Decision Support for Stroke Using Multi–view Learning Based Models for NIHSS Scores
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    Chapter 17 A Music Recommendation System Based on Acoustic Features and User Personalities
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    Chapter 18 A Social Spam Detection Framework via Semi-supervised Learning
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    Chapter 19 A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction
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    Chapter 20 Efficient Iris Image Segmentation for ATM Based Approach Through Fuzzy Entropy and Graph Cut
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    Chapter 21 Matching Product Offers of E-Shops
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    Chapter 22 Keystroke Biometric Recognition on Chinese Long Text Input
  24. Altmetric Badge
    Chapter 23 Recommendation Algorithm Design in a Land Exchange Platform
  25. Altmetric Badge
    Chapter 24 Erratum to: Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals
Attention for Chapter 10: Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
15 Mendeley
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Chapter title
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors
Chapter number 10
Book title
Trends and Applications in Knowledge Discovery and Data Mining
Published in
arXiv, February 2016
DOI 10.1007/978-3-319-42996-0_10
Book ISBNs
978-3-31-942995-3, 978-3-31-942996-0
Authors

Johanna Carvajal, Chris McCool, Brian Lovell, Conrad Sanderson

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Researcher 3 20%
Lecturer 2 13%
Student > Master 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Computer Science 7 47%
Engineering 4 27%
Agricultural and Biological Sciences 1 7%
Unknown 3 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 October 2016.
All research outputs
#9,151,961
of 14,571,953 outputs
Outputs from arXiv
#229,122
of 570,377 outputs
Outputs of similar age
#176,549
of 339,990 outputs
Outputs of similar age from arXiv
#4,544
of 16,012 outputs
Altmetric has tracked 14,571,953 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 570,377 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 50% 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 339,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16,012 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 63% of its contemporaries.