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Machine Learning and Data Mining in Pattern Recognition

Overview of attention for book
Cover of 'Machine Learning and Data Mining in Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Gapped Spectrum Kernel for Support Vector Machines
  3. Altmetric Badge
    Chapter 2 Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learning
  4. Altmetric Badge
    Chapter 3 Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks
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    Chapter 4 Multi Model Transfer Learning with RULES Family
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    Chapter 5 3D Geovisualisation Techniques Applied in Spatial Data Mining
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    Chapter 6 Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow
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    Chapter 7 Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words
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    Chapter 8 Classification and Outlier Detection Based on Topic Based Pattern Synthesis
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    Chapter 9 Decremental Learning of Evolving Fuzzy Inference Systems: Application to Handwritten Gesture Recognition
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    Chapter 10 Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering
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    Chapter 11 Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease
  13. Altmetric Badge
    Chapter 12 Multi-document Text Summarization Using Topic Model and Fuzzy Logic
  14. Altmetric Badge
    Chapter 13 Machine Learning and Data Mining in Pattern Recognition
  15. Altmetric Badge
    Chapter 14 Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation
  16. Altmetric Badge
    Chapter 15 Relevance as a Metric for Evaluating Machine Learning Algorithms
  17. Altmetric Badge
    Chapter 16 Preceding Rule Induction with Instance Reduction Methods
  18. Altmetric Badge
    Chapter 17 Analytic Feature Selection for Support Vector Machines
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    Chapter 18 Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform
  20. Altmetric Badge
    Chapter 19 SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms
  21. Altmetric Badge
    Chapter 20 Machine Learning and Data Mining in Pattern Recognition
  22. Altmetric Badge
    Chapter 21 Density Ratio Estimation in Support Vector Machine for Better Generalization: Study on Direct Marketing Prediction
  23. Altmetric Badge
    Chapter 22 Pacc - A Discriminative and Accuracy Correlated Measure for Assessment of Classification Results
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    Chapter 23 A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion
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    Chapter 24 Relation Decomposition: The Theory
  26. Altmetric Badge
    Chapter 25 Using Turning Point Detection to Obtain Better Regression Trees
  27. Altmetric Badge
    Chapter 26 Automatic Classification of Web Databases Using Domain-Dictionaries
  28. Altmetric Badge
    Chapter 27 An Efficient and Scalable Algorithm for Mining Maximal
  29. Altmetric Badge
    Chapter 28 Partial Discharge Analysis and Inspection Alert Generation in High Power Transformers: A Case Study of an Autotransformer Bank at Eletrobrás-ELETRONORTE Vila do Conde Station
  30. Altmetric Badge
    Chapter 29 Smart Meter Data Analysis for Power Theft Detection
  31. Altmetric Badge
    Chapter 30 Discovering Frequent Itemsets on Uncertain Data: A Systematic Review
  32. Altmetric Badge
    Chapter 31 Mining Groups of Common Interest: Discovering Topical Communities with Network Flows
  33. Altmetric Badge
    Chapter 32 Optimal Time Segments for Stress Detection
  34. Altmetric Badge
    Chapter 33 Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification
  35. Altmetric Badge
    Chapter 34 A Comparative Study on Mobile Visual Recognition
  36. Altmetric Badge
    Chapter 35 Accuracy-Based Classification EM: Combining Clustering with Prediction
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    Chapter 36 When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency
  38. Altmetric Badge
    Chapter 37 Lazy Overfitting Control
  39. Altmetric Badge
    Chapter 38 Using Part of Speech N-Grams for Improving Automatic Speech Recognition of Polish
  40. Altmetric Badge
    Chapter 39 An Empirical Study of Reducing Multiclass Classification Methodologies
  41. Altmetric Badge
    Chapter 40 EEG Feature Selection Based on Time Series Classification
  42. Altmetric Badge
    Chapter 41 DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines
  43. Altmetric Badge
    Chapter 42 Information Gap Analysis for Decision Support Systems in Evidence-Based Medicine
  44. Altmetric Badge
    Chapter 43 TISA: Topic Independence Scoring Algorithm
  45. Altmetric Badge
    Chapter 44 Pre-release Box-Office Success Prediction for Motion Pictures
  46. Altmetric Badge
    Chapter 45 Shifting Concepts to Their Associative Concepts via Bridges
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    Chapter 46 Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data
  48. Altmetric Badge
    Chapter 47 A Lightweight Combinatorial Approach for Inferring the Ground Truth from Multiple Annotators
  49. Altmetric Badge
    Chapter 48 Large Scale Visual Classification with Many Classes
  50. Altmetric Badge
    Chapter 49 Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers
Attention for Chapter 15: Relevance as a Metric for Evaluating Machine Learning Algorithms
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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8 Dimensions

Readers on

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17 Mendeley
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Chapter title
Relevance as a Metric for Evaluating Machine Learning Algorithms
Chapter number 15
Book title
Machine Learning and Data Mining in Pattern Recognition
Published in
arXiv, July 2013
DOI 10.1007/978-3-642-39712-7_15
Book ISBNs
978-3-64-239711-0, 978-3-64-239712-7
Authors

Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien, Gopalakrishna, Aravind Kota, Ozcelebi, Tanir, Liotta, Antonio, Lukkien, Johan J.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 29%
Student > Master 3 18%
Professor 1 6%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Computer Science 6 35%
Engineering 4 24%
Chemistry 1 6%
Agricultural and Biological Sciences 1 6%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 April 2013.
All research outputs
#6,923,674
of 22,703,044 outputs
Outputs from arXiv
#150,485
of 930,906 outputs
Outputs of similar age
#59,485
of 196,931 outputs
Outputs of similar age from arXiv
#694
of 8,189 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 930,906 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 196,931 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 68% of its contemporaries.
We're also able to compare this research output to 8,189 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.