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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 Mining and Information Integration Practice for Chinese Bibliographic Database of Life Sciences
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    Chapter 2 An Automated Search Space Reduction Methodology for Large Databases
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    Chapter 3 Advances in Data Mining. Applications and Theoretical Aspects
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    Chapter 4 Extending Statistical Models for Batch-End Quality Prediction to Batch Control
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    Chapter 5 Pattern-Based Solution Risk Model for Strategic IT Outsourcing
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    Chapter 6 Mining Semantic Relationships between Concepts across Documents Incorporating Wikipedia Knowledge
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    Chapter 7 Estimating Risk Management in Software Engineering Projects
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    Chapter 8 Wastewater Treatment Plant Performance Prediction with Support Vector Machines
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    Chapter 9 Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework
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    Chapter 10 Online Shopping Customer Data Analysis by Using Association Rules and Cluster Analysis
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    Chapter 11 A Study on Multi-label Classification
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    Chapter 12 Robust Feature Selection for SVMs under Uncertain Data
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    Chapter 13 A Hybrid Machine Learning Method and Its Application in Municipal Waste Prediction
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    Chapter 14 BiETopti-BiClustering Ensemble Using Optimization Techniques
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    Chapter 15 Multiple Buying Behavior as an Indicator of Brand Loyalty: An Association Rule Application
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    Chapter 16 Matching Semi-structured Documents Using Similarity of Regions through Fuzzy Rule-Based System
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    Chapter 17 Data Mining Application for Cyber Credit-Card Fraud Detection System
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    Chapter 18 Feature Representation for Customer Attrition Risk Prediction in Retail Banking
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    Chapter 19 An Evolutionary Method for Associative Local Distribution Rule Mining
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    Chapter 20 Application of Data Mining Techniques on EMG Registers of Hemiplegic Patients
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    Chapter 21 Configurations and Couplings: An Exploratory Study
Attention for Chapter 13: A Hybrid Machine Learning Method and Its Application in Municipal Waste Prediction
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Citations

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Chapter title
A Hybrid Machine Learning Method and Its Application in Municipal Waste Prediction
Chapter number 13
Book title
Advances in Data Mining. Applications and Theoretical Aspects
Published by
Springer, Berlin, Heidelberg, July 2013
DOI 10.1007/978-3-642-39736-3_13
Book ISBNs
978-3-64-239735-6, 978-3-64-239736-3
Authors

Emadoddin Livani, Raymond Nguyen, Jörg Denzinger, Günther Ruhe, Scott Banack, Livani, Emadoddin, Nguyen, Raymond, Denzinger, Jörg, Ruhe, Günther, Banack, Scott

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 25%
Student > Master 2 25%
Other 1 13%
Researcher 1 13%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 3 38%
Engineering 2 25%
Chemical Engineering 1 13%
Unknown 2 25%

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