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Intelligent Data Engineering and Automated Learning – IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings

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Cover of 'Intelligent Data Engineering and Automated Learning – IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 A Pruning Algorithm for Extreme Learning Machine
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    Chapter 2 Measuring Stability and Discrimination Power of Metrics in Information Retrieval Evaluation
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    Chapter 3 System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voice and Visual Communication
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    Chapter 4 Racing for Unbalanced Methods Selection
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    Chapter 5 Super-Resolution from One Single Low-Resolution Image Based on R-KSVD and Example-Based Algorithm
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    Chapter 6 Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning
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    Chapter 7 Learning to Detect the Subway Station Arrival for Mobile Users
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    Chapter 8 Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering
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    Chapter 9 Drilling Cost Prediction Based on Self-adaptive Differential Evolution and Support Vector Regression
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    Chapter 10 Web Service Evaluation Method Based on Time-aware Collaborative Filtering
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    Chapter 11 An Improved PBIL Algorithm for Path Planning Problem of Mobile Robots
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    Chapter 12 An Initialized ACO for the VRPTW
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    Chapter 13 Deadline-Aware Event Scheduling for Complex Event Processing Systems
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    Chapter 14 A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing
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    Chapter 15 Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model
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    Chapter 16 An Extended Version of the LVA-Index
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    Chapter 17 Anomaly Monitoring Framework Based on Intelligent Data Analysis
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    Chapter 18 Customer Unification in E-Commerce
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    Chapter 19 Network Management Based on Domain Partition for Mobile Agents
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    Chapter 20 Multi-objective Quantum Cultural Algorithm and Its Application in the Wireless Sensor Networks’ Energy-Efficient Coverage Optimization
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    Chapter 21 Intelligent Data Engineering and Automated Learning – IDEAL 2013
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    Chapter 22 Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder
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    Chapter 23 Prevailing Trends Detection of Public Opinions Based on Tianya Forum
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    Chapter 24 Fast and accurate sentiment classification using an enhanced Naive Bayes model
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    Chapter 25 A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems
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    Chapter 26 A Direction based Multi-Objective Agent Genetic Algorithm
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    Chapter 27 A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation
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    Chapter 28 Adapt a Text-Oriented Chunker for Oral Data: How Much Manual Effort Is Necessary?
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    Chapter 29 SVD Based Graph Regularized Matrix Factorization
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    Chapter 30 Clustering, Noise Reduction and Visualization Using Features Extracted from the Self-Organizing Map
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    Chapter 31 Efficient Service Deployment by Image-Aware VM Allocation Strategy
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    Chapter 32 Intelligent Data Engineering and Automated Learning – IDEAL 2013
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    Chapter 33 A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization
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    Chapter 34 Adaptive Differential Evolution Fuzzy Clustering Algorithm with Spatial Information and Kernel Metric for Remote Sensing Imagery
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    Chapter 35 Dynamic EM in Neologism Evolution
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    Chapter 36 Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement
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    Chapter 37 Sparse Prototype Representation by Core Sets
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    Chapter 38 Reconstruction of Wind Speed Based on Synoptic Pressure Values and Support Vector Regression
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    Chapter 39 Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables
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    Chapter 40 A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems
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    Chapter 41 Fuzzy Clustering with Grouping Genetic Algorithms
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    Chapter 42 Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism
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    Chapter 43 Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution
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    Chapter 44 Gradient Boosting-Based Negative Correlation Learning
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    Chapter 45 Intelligent Data Engineering and Automated Learning – IDEAL 2013
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    Chapter 46 Semi-supervised Ranking via List-Wise Approach
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    Chapter 47 Gaussian Process for Transfer Learning through Minimum Encoding
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    Chapter 48 Kernel Based Manifold Learning for Complex Industry Fault Detection
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    Chapter 49 An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes
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    Chapter 50 Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism
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    Chapter 51 Swarm Intelligence in Big Data Analytics
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    Chapter 52 Multidimensional Dynamic Trust Measurement Model with Incentive Mechanism for Internetware
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    Chapter 53 Global Path Planning of Wheeled Robots Using a Multi-Objective Memetic Algorithm
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    Chapter 54 Quantifying Flow Field Distances Based on a Compact Streamline Representation
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    Chapter 55 MCGA: A Multiobjective Cellular Genetic Algorithm Based on a 3D Grid
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    Chapter 56 Multi-Objective Particle Swarm Optimization Algorithm Based on Population Decomposition
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    Chapter 57 An Effective Ant Colony Approach for Scheduling Parallel Batch-Processing Machines
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    Chapter 58 Understanding Instance Complexity in the Linear Ordering Problem
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    Chapter 59 Multi-Objective Evolutionary Algorithm Based on Decomposition for Air Traffic Flow Network Rerouting Problem
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    Chapter 60 Temporal Dependence in Legal Documents
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    Chapter 61 Learning-Guided Exploration in Airfoil Optimization
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    Chapter 62 A Trigram Language Model to Predict Part of Speech Tags Using Neural Network
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    Chapter 63 Handling Different Levels of Granularity within Naive Bayes Classifiers
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    Chapter 64 Genetic Algorithm on GPU Performance Optimization Issues
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    Chapter 65 Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results
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    Chapter 66 Velocity Divergence of CCPSO in Large Scale Global Optimization
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    Chapter 67 Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition
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    Chapter 68 High against Low Quantile Comparison for Biomarker and Classifier Evaluation
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    Chapter 69 Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments
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    Chapter 70 Hybrid Bacterial Foraging Algorithm for Data Clustering
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    Chapter 71 Swarm Intelligence with Clustering for Solving SAT
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    Chapter 72 Multilevel Bee Swarm Optimization for Large Satisfiability Problem Instances
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    Chapter 73 Intelligent Data Engineering and Automated Learning – IDEAL 2013
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    Chapter 74 Distance Weighted Cosine Similarity Measure for Text Classification
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    Chapter 75 A Survey on Benchmarks for Big Data and Some More Considerations
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    Chapter 76 Spectral Clustering Algorithm Based on Local Sparse Representation
Overall attention for this book and its chapters
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Title
Intelligent Data Engineering and Automated Learning – IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-41278-3
ISBNs
978-3-64-241277-6, 978-3-64-241278-3
Editors

Yin, Hujun, Yao, Xin, Li, Bin, Weise, Thomas, Lee, Minho, Klawonn, Frank, Gao, Yang, Tang, Ke

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The data shown below were collected from the profiles of 6 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 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 <1%
Brazil 2 <1%
Switzerland 1 <1%
Norway 1 <1%
Australia 1 <1%
Sweden 1 <1%
Italy 1 <1%
Egypt 1 <1%
United Kingdom 1 <1%
Other 2 <1%
Unknown 314 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 73 22%
Student > Ph. D. Student 67 20%
Student > Bachelor 30 9%
Researcher 25 8%
Student > Doctoral Student 16 5%
Other 46 14%
Unknown 71 22%
Readers by discipline Count As %
Computer Science 126 38%
Engineering 61 19%
Business, Management and Accounting 17 5%
Physics and Astronomy 6 2%
Economics, Econometrics and Finance 5 2%
Other 32 10%
Unknown 81 25%

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