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Machine Learning and Data Mining in Pattern Recognition

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Table of Contents

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    Book Overview
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    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
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    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
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    Chapter 45 Machine Learning-Based Classification of Encrypted Internet Traffic
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    Chapter 46 Application of Bagging, Boosting and Stacking to Intrusion Detection
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    Chapter 47 Classification of Elementary Stamp Shapes by Means of Reduced Point Distance Histogram Representation
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    Chapter 48 A Multiclassifier Approach for Drill Wear Prediction
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    Chapter 49 Measuring the Dynamic Relatedness between Chinese Entities Orienting to News Corpus
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    Chapter 50 Machine Learning and Data Mining in Pattern Recognition
  52. Altmetric Badge
    Chapter 51 Machine Learning and Data Mining in Pattern Recognition
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Title
Machine Learning and Data Mining in Pattern Recognition
Published by
Springer Berlin Heidelberg, January 2012
DOI 10.1007/978-3-642-31537-4
ISBNs
978-3-64-231536-7, 978-3-64-231537-4
Editors

Petra Perner

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 9%
Student > Master 3 7%
Professor > Associate Professor 3 7%
Lecturer 2 4%
Researcher 2 4%
Other 2 4%
Unknown 29 64%
Readers by discipline Count As %
Psychology 5 11%
Engineering 4 9%
Computer Science 2 4%
Environmental Science 2 4%
Earth and Planetary Sciences 1 2%
Other 0 0%
Unknown 31 69%