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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 Evolving a Low Price Recovery Strategy for Distressed Securities
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    Chapter 2 A Spectral Clustering Based Outlier Detection Technique
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    Chapter 3 A Learning Framework to Improve Unsupervised Gene Network Inference
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    Chapter 4 A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs
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    Chapter 5 Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths
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    Chapter 6 Using Support Vector Machines for Intelligent Service Agents Decision Making
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    Chapter 7 List Price Optimization Using Customized Decision Trees
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    Chapter 8 AdaMS: Adaptive Mountain Silhouette Extraction from Images
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    Chapter 9 K-Means over Incomplete Datasets Using Mean Euclidean Distance
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    Chapter 10 A Time Series Model of the Writing Process
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    Chapter 11 Semantic Aware Bayesian Network Model for Actionable Knowledge Discovery in Linked Data
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    Chapter 12 Driving Style Identification with Unsupervised Learning
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    Chapter 13 A Hybrid Framework for News Clustering Based on the DBSCAN-Martingale and LDA
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    Chapter 14 Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model
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    Chapter 15 EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets
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    Chapter 16 Fast Detection of Block Boundaries in Block-Wise Constant Matrices
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    Chapter 17 Inferring Censored Geo-Information with Non-Representative Data
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    Chapter 18 Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases
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    Chapter 19 Automatic Detection of Latent Common Clusters of Groups in MultiGroup Regression
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    Chapter 20 Content Based Identification of Talk Show Videos Using Audio Visual Features
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    Chapter 21 IncMSTS-PP: An Algorithm to the Incremental Extraction of Significant Sequences from Environmental Sensor Data
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    Chapter 22 DSCo: A Language Modeling Approach for Time Series Classification
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    Chapter 23 Statistical Learning on Manifold-Valued Data
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    Chapter 24 A New Strategy for Case-Based Reasoning Retrieval Using Classification Based on Association
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    Chapter 25 Tracking Communities over Time in Dynamic Social Network
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    Chapter 26 Generalized Hand Gesture Recognition for Wearable Devices in IoT: Application and Implementation Challenges
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    Chapter 27 A Review on Artificial Intelligence Based Parameter Forecasting for Soil-Water Content
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    Chapter 28 Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms
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    Chapter 29 Location-Aware Ad Recommendation to Bid for Impressions
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    Chapter 30 Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining
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    Chapter 31 Energy Disaggregation Based on Semi-Binary NMF
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    Chapter 32 A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks
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    Chapter 33 Metadata-Based Clustered Multi-task Learning for Thread Mining in Web Communities
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    Chapter 34 On Genetic Algorithms for Detecting Frequent Item Sets And Large Bite Sets
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    Chapter 35 Multi-view Learning for Classification of X-Ray Crystallography Images
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    Chapter 36 C-KPCA: Custom Kernel PCA for Cancer Classification
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    Chapter 37 LiveDoc: Showing Contextual Information Using Topic Modeling Techniques
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    Chapter 38 Genetic-Based Thresholds for Multi Histogram Equalization Image Enhancement
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    Chapter 39 A Clustering Approach for Discovering Intrinsic Clusters in Multivariate Geostatistical Data
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    Chapter 40 On Learning and Exploiting Time Domain Traffic Patterns in Cellular Radio Access Networks
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    Chapter 41 Pruning a Random Forest by Learning a Learning Algorithm
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    Chapter 42 Interestingness Hotspot Discovery in Spatial Datasets Using a Graph-Based Approach
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    Chapter 43 MapReduce-Based Growing Neural Gas for Scalable Cluster Environments
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    Chapter 44 Comprehensible Enzyme Function Classification Using Reactive Motifs with Negative Patterns
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    Chapter 45 Enumerating Maximal Isolated Cliques Based on Vertex-Dependent Connection Lower Bound
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    Chapter 46 Simulator Prototyping Through Graphical Dependency Modeling
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    Chapter 47 Applying Data Mining to Healthcare: A Study of Social Network of Physicians and Patient Journeys
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    Chapter 48 Feature Selection for Handling Concept Drift in the Data Stream Classification
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    Chapter 49 Feature Reduction for Multi Label Classification of Discrete Data
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    Chapter 50 Accurate On-Road Vehicle Detection with Deep Fully Convolutional Networks
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    Chapter 51 On the Abstraction of a Categorical Clustering Algorithm
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    Chapter 52 Gossip-Based Behavioral Group Identification in Decentralized OSNs
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    Chapter 53 A Generalized Framework for Quantifying Trust of Social Media Text Documents
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    Chapter 54 A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images
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    Chapter 55 Representation of 1-D Signals by a 0_1 Sequence and Similarity-Based Interpretation: A Case-Based Reasoning Approach
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    Chapter 56 Rank Aggregation Algorithm Selection Meets Feature Selection
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    Chapter 57 Attention Region Based Approach for Tracking Individuals in a Small School of Fish for Water Quality Monitoring
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    Chapter 58 FSMS: A Frequent Subgraph Mining Algorithm Using Mapping Sets
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    Chapter 59 Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics?
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    Chapter 60 Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns
Overall attention for this book and its chapters
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Title
Machine Learning and Data Mining in Pattern Recognition
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-41920-6
ISBNs
978-3-31-941919-0, 978-3-31-941920-6
Editors

Petra Perner

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X Demographics

The data shown below were collected from the profiles of 4 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Student > Master 2 13%
Student > Bachelor 1 6%
Lecturer 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 5 31%
Readers by discipline Count As %
Computer Science 7 44%
Engineering 3 19%
Business, Management and Accounting 1 6%
Nursing and Health Professions 1 6%
Unknown 4 25%