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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 Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization
  3. Altmetric Badge
    Chapter 2 Selection of Subsets of Ordered Features in Machine Learning
  4. Altmetric Badge
    Chapter 3 Combination of Vector Quantization and Visualization
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    Chapter 4 Discretization of Target Attributes for Subgroup Discovery
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    Chapter 5 Preserving Privacy in Time Series Data Classification by Discretization
  7. Altmetric Badge
    Chapter 6 Using Resampling Techniques for Better Quality Discretization
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    Chapter 7 A Large Margin Classifier with Additional Features
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    Chapter 8 Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier
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    Chapter 9 Optimal Double-Kernel Combination for Classification
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    Chapter 10 Efficient AdaBoost Region Classification
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    Chapter 11 A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation
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    Chapter 12 PMCRI: A Parallel Modular Classification Rule Induction Framework
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    Chapter 13 Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method
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    Chapter 14 ODDboost: Incorporating Posterior Estimates into AdaBoost
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    Chapter 15 Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach
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    Chapter 16 Relevance and Redundancy Analysis for Ensemble Classifiers
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    Chapter 17 Drift-Aware Ensemble Regression
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    Chapter 18 Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees
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    Chapter 19 Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies
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    Chapter 20 Pattern Mining with Natural Language Processing: An Exploratory Approach
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    Chapter 21 Is the Distance Compression Effect Overstated? Some Theory and Experimentation
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    Chapter 22 Fast Local Support Vector Machines for Large Datasets
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    Chapter 23 The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines
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    Chapter 24 Towards B-Coloring of SOM
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    Chapter 25 CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering Quality
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    Chapter 26 Agent-Based Non-distributed and Distributed Clustering
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    Chapter 27 An Evidence Accumulation Approach to Constrained Clustering Combination
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    Chapter 28 Fast Spectral Clustering with Random Projection and Sampling
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    Chapter 29 How Much True Structure Has Been Discovered?
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    Chapter 30 Efficient Clustering of Web-Derived Data Sets
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    Chapter 31 A Probabilistic Approach for Constrained Clustering with Topological Map
  33. Altmetric Badge
    Chapter 32 Relational Frequent Patterns Mining for Novelty Detection from Data Streams
  34. Altmetric Badge
    Chapter 33 A Comparative Study of Outlier Detection Algorithms
  35. Altmetric Badge
    Chapter 34 Outlier Detection with Explanation Facility
  36. Altmetric Badge
    Chapter 35 Concept Learning from (Very) Ambiguous Examples
  37. Altmetric Badge
    Chapter 36 Finding Top- N Pseudo Formal Concepts with Core Intents
  38. Altmetric Badge
    Chapter 37 On Fixed Convex Combinations of No-Regret Learners
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    Chapter 38 An Improved Tabu Search (ITS) Algorithm Based on Open Cover Theory for Global Extremums
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    Chapter 39 The Needles-in-Haystack Problem
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    Chapter 40 An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
  42. Altmetric Badge
    Chapter 41 Detection of Masses in Mammographic Images Using Simpson’s Diversity Index in Circular Regions and SVM
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    Chapter 42 Mining Lung Shape from X-Ray Images
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    Chapter 43 A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data
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    Chapter 44 Spectrum Steganalysis of WAV Audio Streams
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    Chapter 45 Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach
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    Chapter 46 Learning with a Quadruped Chopstick Robot
  48. Altmetric Badge
    Chapter 47 Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes
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    Chapter 48 Using Graph-Kernels to Represent Semantic Information in Text Classification
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    Chapter 49 A General Framework of Feature Selection for Text Categorization
  51. Altmetric Badge
    Chapter 50 New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps
  52. Altmetric Badge
    Chapter 51 Learning Betting Tips from Users’ Bet Selections
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    Chapter 52 An Approach to Web-Scale Named-Entity Disambiguation
  54. Altmetric Badge
    Chapter 53 A General Learning Method for Automatic Title Extraction from HTML Pages
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    Chapter 54 Regional Pattern Discovery in Geo-referenced Datasets Using PCA
  56. Altmetric Badge
    Chapter 55 Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series
  57. Altmetric Badge
    Chapter 56 A Neural Approach for SME’s Credit Risk Analysis in Turkey
  58. Altmetric Badge
    Chapter 57 Assisting Data Mining through Automated Planning
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    Chapter 58 Predictions with Confidence in Applications
  60. Altmetric Badge
    Chapter 59 Aligning Bayesian Network Classifiers with Medical Contexts
  61. Altmetric Badge
    Chapter 60 Assessing the Eligibility of Kidney Transplant Donors
  62. Altmetric Badge
    Chapter 61 Lung Nodules Classification in CT Images Using Simpson’s Index, Geometrical Measures and One-Class SVM
Overall attention for this book and its chapters
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
1 patent

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
472 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Machine Learning and Data Mining in Pattern Recognition
Published by
ADS, January 2009
DOI 10.1007/978-3-642-03070-3
ISBNs
978-3-64-203069-7, 978-3-64-203070-3
Editors

Perner, Petra

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 472 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 1%
Germany 5 1%
Brazil 4 <1%
India 4 <1%
Colombia 3 <1%
France 2 <1%
Japan 2 <1%
Russia 2 <1%
Portugal 2 <1%
Other 7 1%
Unknown 434 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 118 25%
Student > Ph. D. Student 116 25%
Researcher 57 12%
Student > Bachelor 55 12%
Student > Doctoral Student 23 5%
Other 56 12%
Unknown 47 10%
Readers by discipline Count As %
Computer Science 205 43%
Engineering 87 18%
Business, Management and Accounting 17 4%
Agricultural and Biological Sciences 16 3%
Environmental Science 10 2%
Other 74 16%
Unknown 63 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 January 2022.
All research outputs
#3,017,332
of 23,885,338 outputs
Outputs from ADS
#1,946
of 38,875 outputs
Outputs of similar age
#14,907
of 174,586 outputs
Outputs of similar age from ADS
#72
of 918 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38,875 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 94% 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 174,586 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 918 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 92% of its contemporaries.