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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
Overall attention for this book and its chapters
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Mentioned by

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3 tweeters
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Citations

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Title
Advances in Data Mining. Applications and Theoretical Aspects
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-41561-1
ISBNs
978-3-31-941560-4, 978-3-31-941561-1
Editors

Petra Perner

Twitter Demographics

The data shown below were collected from the profiles of 3 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Student > Master 4 22%
Student > Doctoral Student 1 6%
Researcher 1 6%
Unknown 7 39%
Readers by discipline Count As %
Computer Science 6 33%
Engineering 3 17%
Earth and Planetary Sciences 1 6%
Medicine and Dentistry 1 6%
Environmental Science 1 6%
Other 0 0%
Unknown 6 33%