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Machine Learning and Data Mining in Pattern Recognition

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Cover of 'Machine Learning and Data Mining in Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 The Gapped Spectrum Kernel for Support Vector Machines
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    Chapter 2 Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learning
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    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
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    Chapter 12 Multi-document Text Summarization Using Topic Model and Fuzzy Logic
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    Chapter 13 Machine Learning and Data Mining in Pattern Recognition
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    Chapter 14 Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation
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    Chapter 15 Relevance as a Metric for Evaluating Machine Learning Algorithms
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    Chapter 16 Preceding Rule Induction with Instance Reduction Methods
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    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
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    Chapter 19 SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms
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    Chapter 20 Machine Learning and Data Mining in Pattern Recognition
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    Chapter 21 Density Ratio Estimation in Support Vector Machine for Better Generalization: Study on Direct Marketing Prediction
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    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
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    Chapter 25 Using Turning Point Detection to Obtain Better Regression Trees
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    Chapter 26 Automatic Classification of Web Databases Using Domain-Dictionaries
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    Chapter 27 An Efficient and Scalable Algorithm for Mining Maximal
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    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
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    Chapter 29 Smart Meter Data Analysis for Power Theft Detection
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    Chapter 30 Discovering Frequent Itemsets on Uncertain Data: A Systematic Review
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    Chapter 31 Mining Groups of Common Interest: Discovering Topical Communities with Network Flows
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    Chapter 32 Optimal Time Segments for Stress Detection
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    Chapter 33 Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification
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    Chapter 34 A Comparative Study on Mobile Visual Recognition
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    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
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    Chapter 37 Lazy Overfitting Control
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    Chapter 38 Using Part of Speech N-Grams for Improving Automatic Speech Recognition of Polish
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    Chapter 39 An Empirical Study of Reducing Multiclass Classification Methodologies
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    Chapter 40 EEG Feature Selection Based on Time Series Classification
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    Chapter 41 DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines
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    Chapter 42 Information Gap Analysis for Decision Support Systems in Evidence-Based Medicine
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    Chapter 43 TISA: Topic Independence Scoring Algorithm
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    Chapter 44 Pre-release Box-Office Success Prediction for Motion Pictures
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    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
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    Chapter 47 A Lightweight Combinatorial Approach for Inferring the Ground Truth from Multiple Annotators
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    Chapter 48 Large Scale Visual Classification with Many Classes
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    Chapter 49 Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers
Overall attention for this book and its chapters
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Mentioned by

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5 tweeters
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1 Google+ user

Citations

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Title
Machine Learning and Data Mining in Pattern Recognition
Published by
Springer Berlin Heidelberg, July 2013
DOI 10.1007/978-3-642-39712-7
ISBNs
978-3-64-239711-0, 978-3-64-239712-7
Editors

Perner, Petra

Twitter Demographics

The data shown below were collected from the profiles of 5 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 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 408 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 <1%
Unknown 407 100%
Readers by discipline Count As %
Computer Science 1 <1%
Unknown 407 100%