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Advances in Data Mining. Applications and Theoretical Aspects

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Cover of 'Advances in Data Mining. Applications and Theoretical Aspects'

Table of Contents

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    Book Overview
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    Chapter 1 Induction of Model Trees for Predicting BOD in River Water: A Data Mining Perspective
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    Chapter 2 Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds
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    Chapter 3 Data Mining in Medicine: Relationship of Scoliotic Spine Curvature to the Movement Sequence of Lateral Bending Positions
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    Chapter 4 A Data Mining-Based Approach for Exploiting the Characteristics of University Lecturers
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    Chapter 5 Incremental Response Modeling Based on Segmentation Approach Using Uplift Decision Trees
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    Chapter 6 PHM: Mining Periodic High-Utility Itemsets
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    Chapter 7 Comparative Analysis of Levenberg-Marquardt and Bayesian Regularization Backpropagation Algorithms in Photovoltaic Power Estimation Using Artificial Neural Network
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    Chapter 8 Data Mining on Divers Alert Network DSL Database: Classification of Divers
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    Chapter 9 Multiple Health Phases Based Remaining Useful Lifetime Prediction on Bearings
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    Chapter 10 Innovations in News Media: Crisis Classification System
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    Chapter 11 Development of Issue Sets from Social Big Data: A Case Study of Green Energy and Low-Carbon
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    Chapter 12 Early Prediction of Extreme Rainfall Events: A Deep Learning Approach
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    Chapter 13 Identifying and Characterizing Truck Stops from GPS Data
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    Chapter 14 A Fuzzy Rule-Based Learning Algorithm for Customer Churn Prediction
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    Chapter 15 DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques
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    Chapter 16 Coordinate Refinement on All Atoms of the Protein Backbone with Support Vector Regression
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    Chapter 17 The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics
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    Chapter 18 Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms
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    Chapter 19 A Novel Sparsity Based Classification Framework to Exploit Clusters in Data
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    Chapter 20 Mining Event Sequences from Social Media for Election Prediction
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    Chapter 21 Multi-exponential Lifetime Extraction in Time-Logarithmic Scale
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    Chapter 22 Fuel Pipeline Thermal Conductivity in Automatic Wet Stock Reconciliation Systems
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    Chapter 23 A Novel Multivariate Mapping Method for Analyzing High-Dimensional Numerical Datasets
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    Chapter 24 Association Rule Hiding for Privacy Preserving Data Mining
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    Chapter 25 Extending Process Monitoring to Simultaneous False Alarm Rejection and Fault Identification (FARFI)
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    Chapter 26 Parallel and Distributed Data Mining in Cloud
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    Chapter 27 The WoMan Formalism for Expressing Process Models
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    Chapter 28 Duration-Aware Alignment of Process Traces
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    Chapter 29 A Matching Approach Based on Term Clusters for eRecruitment
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    Chapter 30 Splitting Algorithm for Detecting Structural Changes in Predictive Relationships
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    Chapter 31 Early Predictive System for Diabetes Mellitus Disease
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    Chapter 32 Data Quality Visualization for Preprocessing
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    Chapter 33 List Price Optimization Using Customized Decision Trees
Attention for Chapter 9: Multiple Health Phases Based Remaining Useful Lifetime Prediction on Bearings
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Chapter title
Multiple Health Phases Based Remaining Useful Lifetime Prediction on Bearings
Chapter number 9
Book title
Advances in Data Mining. Applications and Theoretical Aspects
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-41561-1_9
Book ISBNs
978-3-31-941560-4, 978-3-31-941561-1
Authors

Junjie Chen, Xiaofeng Wang, Wenjing Zhou, Lei Zhang, Fei Liu

Editors

Petra Perner

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Bachelor 2 40%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Engineering 2 40%
Computer Science 2 40%
Environmental Science 1 20%