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Pattern Recognition and Data Mining

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Cover of 'Pattern Recognition and Data Mining'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Enhancing Trie-Based Syntactic Pattern Recognition Using AI Heuristic Search Strategies
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    Chapter 2 Mathematical Features for Recognizing Preference in Sub-saharan African Traditional Rhythm Timelines
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    Chapter 3 Empirical Bounds on Error Differences When Using Naive Bayes
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    Chapter 4 Effective Probability Forecasting for Time Series Data Using Standard Machine Learning Techniques
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    Chapter 5 A Continuous Weighted Low-Rank Approximation for Collaborative Filtering Problems
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    Chapter 6 GP Ensemble for Distributed Intrusion Detection Systems
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    Chapter 7 Clustered Trie Structures for Approximate Search in Hierarchical Objects Collections
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    Chapter 8 On Adaptive Confidences for Critic-Driven Classifier Combining
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    Chapter 9 The RW2 Algorithm for Exact Graph Matching
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    Chapter 10 Making Use of Unelaborated Advice to Improve Reinforcement Learning: A Mobile Robotics Approach
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    Chapter 11 Consolidated Trees: Classifiers with Stable Explanation. A Model to Achieve the Desired Stability in Explanation
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    Chapter 12 Discovering Predictive Variables When Evolving Cognitive Models
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    Chapter 13 Mathematical Morphology and Binary Geodesy for Robot Navigation Planning
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    Chapter 14 Neural Network Classification: Maximizing Zero-Error Density
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    Chapter 15 Taxonomy of Classifiers Based on Dissimilarity Features
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    Chapter 16 Combination of Boosted Classifiers Using Bounded Weights
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    Chapter 17 Prediction of Commodity Prices in Rapidly Changing Environments
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    Chapter 18 Develop Multi-hierarchy Classification Model: Rough Set Based Feature Decomposition Method
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    Chapter 19 On Fitting Finite Dirichlet Mixture Using ECM and MML
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    Chapter 20 Pattern Recognition and Data Mining
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    Chapter 21 Analyzing Large Image Databases with the Evolving Tree
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    Chapter 22 A Sequence Labeling Method Using Syntactical and Textual Patterns for Record Linkage
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    Chapter 23 Recognition Tasks Are Imitation Games
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    Chapter 24 Use of Input Deformations with Brownian Motion Filters for Discontinuous Regression
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    Chapter 25 Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints
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    Chapter 26 An Optimally Weighted Fuzzy k -NN Algorithm
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    Chapter 27 A Tabu Search Based Method for Minimum Sum of Squares Clustering
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    Chapter 28 Approximation of Digital Circles by Regular Polygons
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    Chapter 29 A Novel Feature Fusion Method Based on Partial Least Squares Regression
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    Chapter 30 Combining Text and Link Analysis for Focused Crawling
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    Chapter 31 A Weighting Initialization Strategy for Weighted Support Vector Machines
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    Chapter 32 Pattern Recognition and Data Mining
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    Chapter 33 Boosting Feature Selection
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    Chapter 34 Similarity Searching in Image Retrieval with Statistical Distance Measures and Supervised Learning
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    Chapter 35 Using Patterns to Generate Prime Numbers
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    Chapter 36 Empirical Study on Weighted Voting Multiple Classifiers
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    Chapter 37 Spectral Clustering for Time Series
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    Chapter 38 A New EM Algorithm for Resource Allocation Network
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    Chapter 39 A Biased Support Vector Machine Approach to Web Filtering
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    Chapter 40 A New Approach to Generate Frequent Patterns from Enterprise Databases
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    Chapter 41 Consolidated Tree Classifier Learning in a Car Insurance Fraud Detection Domain with Class Imbalance
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    Chapter 42 Missing Data Estimation Using Polynomial Kernels
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    Chapter 43 Predictive Model for Protein Function Using Modular Neural Approach
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    Chapter 44 Using k NN Model for Automatic Feature Selection
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    Chapter 45 Multi-view EM Algorithm for Finite Mixture Models
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    Chapter 46 Segmentation Evaluation Using a Support Vector Machine
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    Chapter 47 Detection of Spots in 2-D Electrophoresis Gels by Symmetry Features
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    Chapter 48 Analysis of MHC-Peptide Binding Using Amino Acid Property-Based Decision Rules
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    Chapter 49 Accuracy of String Kernels for Protein Sequence Classification
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    Chapter 50 An Efficient Feature Selection Method for Object Detection
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    Chapter 51 Multi-SOMs: A New Approach to Self Organised Classification
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    Chapter 52 Selection of Classifiers Using Information-Theoretic Criteria
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    Chapter 53 ICA and GA Feature Extraction and Selection for Cloud Classification
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    Chapter 54 A Study on Robustness of Large Vocabulary Mandarin Chinese Continuous Speech Recognition System Based on Wavelet Analysis
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    Chapter 55 Recognition of Insect Emissions Applying the Discrete Wavelet Transform
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    Chapter 56 On the Performance of Hurst-Vectors for Speaker Identification Systems
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    Chapter 57 Transformations of LPC and LSF Parameters to Speech Recognition Features
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    Chapter 58 Redshift Determination for Quasar Based on Similarity Measure
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    Chapter 59 Learning with Segment Boundaries for Hierarchical HMMs
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    Chapter 60 A Bayesian Method for High-Frequency Restoration of Low Sample-Rate Speech
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    Chapter 61 Probabilistic Tangent Subspace Method for Multiuser Detection
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    Chapter 62 Feature Extraction for Handwritten Chinese Character by Weighted Dynamic Mesh Based on Nonlinear Normalization
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    Chapter 63 Post Processing of Handwritten Phonetic Pitman’s Shorthand Using a Bayesian Network Built on Geometric Attributes
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    Chapter 64 Ancient Printed Documents Indexation: A New Approach
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    Chapter 65 Applying Software Analysis Technology to Lightweight Semantic Markup of Document Text
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    Chapter 66 Noisy Digit Classification with Multiple Specialist
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    Chapter 67 Automatic Table Detection in Document Images
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    Chapter 68 High Performance Classifiers Combination for Handwritten Digit Recognition
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    Chapter 69 A Novel Approach for Text Detection in Images Using Structural Features
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    Chapter 70 Optical Flow-Based Segmentation of Containers for Automatic Code Recognition
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    Chapter 71 Hybrid OCR Combination for Ancient Documents
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    Chapter 72 New Holistic Handwritten Word Recognition and Its Application to French Legal Amount
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    Chapter 73 Handwriting Documents Denoising and Indexing Using Hermite Transform
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    Chapter 74 Evaluation of Commercial OCR: A New Goal Directed Methodology for Video Documents
Overall attention for this book and its chapters
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Title
Pattern Recognition and Data Mining
Published by
Springer Science & Business Media, August 2005
DOI 10.1007/11551188
ISBNs
978-3-54-028757-5, 978-3-54-028758-2
Editors

Singh, Sameer, Singh, Maneesha, Apte, Chid, Perner, Petra

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

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Lecturer 2 9%
Other 2 9%
Student > Master 2 9%
Student > Bachelor 2 9%
Other 4 17%
Unknown 6 26%
Readers by discipline Count As %
Computer Science 8 35%
Engineering 5 22%
Business, Management and Accounting 1 4%
Social Sciences 1 4%
Physics and Astronomy 1 4%
Other 0 0%
Unknown 7 30%