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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 Bayesian Approach to the Concept Drift in the Pattern Recognition Problems
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    Chapter 2 Transductive Relational Classification in the Co-training Paradigm
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    Chapter 3 Generalized Nonlinear Classification Model Based on Cross-Oriented Choquet Integral
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    Chapter 4 A General Lp-norm Support Vector Machine via Mixed 0-1 Programming
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    Chapter 5 Reduction of Distance Computations in Selection of Pivot Elements for Balanced GHT Structure
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    Chapter 6 Hot Deck Methods for Imputing Missing Data
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    Chapter 7 BINER
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    Chapter 8 A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis
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    Chapter 9 Top-N Minimization Approach for Indicative Correlation Change Mining
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    Chapter 10 Selecting Classification Algorithms with Active Testing
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    Chapter 11 Comparing Logistic Regression, Neural Networks, C5.0 and M5′ Classification Techniques
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    Chapter 12 Unsupervised Grammar Inference Using the Minimum Description Length Principle
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    Chapter 13 How Many Trees in a Random Forest?
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    Chapter 14 Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy
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    Chapter 15 A New Learning Structure Heuristic of Bayesian Networks from Data
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    Chapter 16 Discriminant Subspace Learning Based on Support Vectors Machines
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    Chapter 17 A New Learning Strategy of General BAMs
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    Chapter 18 Proximity-Graph Instance-Based Learning, Support Vector Machines, and High Dimensionality: An Empirical Comparison
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    Chapter 19 Semi Supervised Clustering: A Pareto Approach
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    Chapter 20 Semi-supervised Clustering: A Case Study
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    Chapter 21 SOStream: Self Organizing Density-Based Clustering over Data Stream
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    Chapter 22 Clustering Data Stream by a Sub-window Approach Using DCA
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    Chapter 23 Improvement of K-means Clustering Using Patents Metadata
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    Chapter 24 Content Independent Metadata Production as a Machine Learning Problem
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    Chapter 25 Discovering K Web User Groups with Specific Aspect Interests
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    Chapter 26 An Algorithm for the Automatic Estimation of Image Orientation
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    Chapter 27 Multi-label Image Annotation Based on Neighbor Pair Correlation Chain
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    Chapter 28 Enhancing Image Retrieval by an Exploration-Exploitation Approach
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    Chapter 29 Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming
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    Chapter 30 Combination of Physiological and Behavioral Biometric for Human Identification
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    Chapter 31 Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition
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    Chapter 32 Computer Recognition of Facial Expressions of Emotion
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    Chapter 33 Outcome Prediction for Patients with Severe Traumatic Brain Injury Using Permutation Entropy Analysis of Electronic Vital Signs Data
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    Chapter 34 EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization
  36. Altmetric Badge
    Chapter 35 DAGSVM vs. DAGKNN: An Experimental Case Study with Benthic Macroinvertebrate Dataset
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    Chapter 36 Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM
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    Chapter 37 Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia
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    Chapter 38 Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh’s Diversity Index and SVM
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    Chapter 39 A Semi-Automated Approach to Building Text Summarisation Classifiers
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    Chapter 40 A Pattern Recognition System for Malicious PDF Files Detection
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    Chapter 41 Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix
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    Chapter 42 A Pattern Discovery Model for Effective Text Mining
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    Chapter 43 Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering
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    Chapter 44 Mining Ranking Models from Dynamic Network Data
  46. Altmetric Badge
    Chapter 45 Machine Learning-Based Classification of Encrypted Internet Traffic
  47. Altmetric Badge
    Chapter 46 Application of Bagging, Boosting and Stacking to Intrusion Detection
  48. Altmetric Badge
    Chapter 47 Classification of Elementary Stamp Shapes by Means of Reduced Point Distance Histogram Representation
  49. Altmetric Badge
    Chapter 48 A Multiclassifier Approach for Drill Wear Prediction
  50. Altmetric Badge
    Chapter 49 Measuring the Dynamic Relatedness between Chinese Entities Orienting to News Corpus
  51. Altmetric Badge
    Chapter 50 Machine Learning and Data Mining in Pattern Recognition
  52. Altmetric Badge
    Chapter 51 Machine Learning and Data Mining in Pattern Recognition
Attention for Chapter 13: How Many Trees in a Random Forest?
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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3 X users
q&a
1 Q&A thread

Citations

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18 Dimensions

Readers on

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Chapter title
How Many Trees in a Random Forest?
Chapter number 13
Book title
Machine Learning and Data Mining in Pattern Recognition
Published in
Lecture notes in computer science, July 2012
DOI 10.1007/978-3-642-31537-4_13
Book ISBNs
978-3-64-231536-7, 978-3-64-231537-4
Authors

Thais Mayumi Oshiro, Pedro Santoro Perez, José Augusto Baranaukas, José Augusto Baranauskas, Oshiro, Thais Mayumi, Perez, Pedro Santoro, Baranauskas, José Augusto

Editors

Petra Perner

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 855 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
United States 2 <1%
Japan 2 <1%
Belgium 2 <1%
Germany 1 <1%
Canada 1 <1%
China 1 <1%
Unknown 843 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 153 18%
Student > Ph. D. Student 140 16%
Student > Bachelor 106 12%
Researcher 61 7%
Student > Postgraduate 36 4%
Other 97 11%
Unknown 262 31%
Readers by discipline Count As %
Computer Science 156 18%
Engineering 113 13%
Environmental Science 55 6%
Earth and Planetary Sciences 37 4%
Agricultural and Biological Sciences 36 4%
Other 159 19%
Unknown 299 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 April 2023.
All research outputs
#7,480,508
of 25,998,826 outputs
Outputs from Lecture notes in computer science
#2,162
of 8,225 outputs
Outputs of similar age
#50,656
of 180,728 outputs
Outputs of similar age from Lecture notes in computer science
#19
of 61 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,225 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 73% 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 180,728 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 71% of its contemporaries.
We're also able to compare this research output to 61 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 68% of its contemporaries.