Intelligent Data Engineering and Automated Learning -- IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013, Proceedings / edited by Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Bin Li, Thomas Weise, Xin Yao.

Format:

Book

Contributor:

Yin, Hujun., Editor.

Tang, Ke, Editor.

Gao, Yang, Editor.

Klawonn, F., Editor.

Lee, Minho, Editor.

Li, Bin, Editor.

Weise, Thomas., Editor.

Yao, Xin, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 8206

Information Systems and Applications, incl. Internet/Web, and HCI ; 8206

Language:

English

Subjects (All):

Data mining.

Pattern recognition systems.

Artificial intelligence.

Algorithms.

Information storage and retrieval systems.

Computer science.

Data Mining and Knowledge Discovery.

Automated Pattern Recognition.

Artificial Intelligence.

Information Storage and Retrieval.

Theory of Computation.

Local Subjects:

Data Mining and Knowledge Discovery.

Automated Pattern Recognition.

Artificial Intelligence.

Algorithms.

Information Storage and Retrieval.

Theory of Computation.

Physical Description:

1 online resource (XVIII, 639 pages) : 215 illustrations

Edition:

1st ed. 2013.

Contained In:

Springer Nature eBook

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering.

Contents:

A Pruning Algorithm for Extreme Learning Machine

Measuring Stability and Discrimination Power of Metrics in Information Retrieval Evaluation

System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voice and Visual Communication

Racing for Unbalanced Methods Selection

Super-Resolution from One Single Low-Resolution Image Based on R-KSVD and Example-Based Algorithm

Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning

Learning to Detect the Subway Station Arrival for Mobile Users

Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering

Drilling Cost Prediction Based on Self-adaptive Differential Evolution and Support Vector Regression

Web Service Evaluation Method Based on Time-aware Collaborative Filtering

An Improved PBIL Algorithm for Path Planning Problem of Mobile Robots

An Initialized ACO for the VRPTW

Deadline-Aware Event Scheduling for Complex Event Processing Systems

A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing

Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model

An Extended Version of the LVA-Index

Anomaly Monitoring Framework Based on Intelligent Data Analysis

Customer Unification in E-Commerce

Network Management Based on Domain Partition for Mobile Agents

Multi-objective Quantum Cultural Algorithm and Its Application in the Wireless Sensor Networks' Energy-Efficient Coverage Optimization

Image Super Resolution via Visual Prior Based Digital Image Characteristics

Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder

Prevailing Trends Detection of Public Opinions Based on Tianya Forum

Fast and Accurate Sentiment Classification Using an Enhanced Naïve Bayes Model

A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems

A Direction based Multi-Objective Agent Genetic Algorithm

A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation

Adapt a Text-Oriented Chunker for Oral Data: How Much Manual Effort Is Necessary?

SVD Based Graph Regularized Matrix Factorization

Clustering, Noise Reduction and Visualization Using Features Extracted from the Self-Organizing Map

Efficient Service Deployment by Image-Aware VM Allocation Strategy

Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model

A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization

Adaptive Differential Evolution Fuzzy Clustering Algorithm with Spatial Information and Kernel Metric for Remote Sensing Imagery

Dynamic EM in Neologism Evolution

Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement

Sparse Prototype Representation by Core Sets

Reconstruction of Wind Speed Based on Synoptic Pressure Values and Support Vector Regression

Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables

A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems

Fuzzy Clustering with Grouping Genetic Algorithms

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution

Gradient Boosting-Based Negative Correlation Learning

Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient

Semi-supervised Ranking via List-Wise Approach

Gaussian Process for Transfer Learning through Minimum Encoding

Kernel Based Manifold Learning for Complex Industry Fault Detection

An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes

Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism

Swarm Intelligence in Big Data Analytics

Multidimensional Dynamic Trust Measurement Model with Incentive Mechanism for Internetware

Global Path Planning of Wheeled Robots Using a Multi-Objective Memetic Algorithm

Quantifying Flow Field Distances Based on a Compact Streamline Representation

MCGA: A Multiobjective Cellular Genetic Algorithm Based on a 3D Grid

Multi-Objective Particle Swarm Optimization Algorithm Based on Population Decomposition

An Effective Ant Colony Approach for Scheduling Parallel Batch-Processing Machines

Understanding Instance Complexity in the Linear Ordering Problem

Multi-Objective Evolutionary Algorithm Based on Decomposition for Air Traffic Flow Network Rerouting Problem

Temporal Dependence in Legal Documents

Learning-Guided Exploration in Airfoil Optimization

A Trigram Language Model to Predict Part of Speech Tags Using Neural Network

Handling Different Levels of Granularity within Naive Bayes Classifiers

Genetic Algorithm on GPU Performance Optimization Issues

Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results

Velocity Divergence of CCPSO in Large Scale Global Optimization

Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition

High against Low Quantile Comparison for Biomarker and Classifier Evaluation

Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments

Hybrid Bacterial Foraging Algorithm for Data Clustering

Swarm Intelligence with Clustering for Solving SAT

Multilevel Bee Swarm Optimization for Large Satisfiability Problem Instances

Voting-XCSc: A Consensus Clustering Method via Learning Classifier System

Distance Weighted Cosine Similarity Measure for Text Classification

A Survey on Benchmarks for Big Data and Some More Considerations

Spectral Clustering Algorithm Based on Local Sparse Representation.

Other Format:

Printed edition:

ISBN:

978-3-642-41278-3

9783642412783

Access Restriction:

Restricted for use by site license.