Intelligent Data Engineering and Automated Learning - IDEAL 2014 : 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings

Emilio S. Corchado

ISBN 10: 3319108395 / ISBN 13: 9783319108391

Editore: Springer, Berlin, Springer, 2014

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Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014.The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.

Codice articolo 9783319108391

Dati bibliografici

• Titolo: Intelligent Data Engineering and Automated Learning - IDEAL 2014 : 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings
• Editore: Springer, Berlin, Springer
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 3319108395
• ISBN 13: 9783319108391
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 237 L x 157 A x 26 P (millimetri) 237 millimetri di larghezza per 157 millimetri di altezza per 26 millimetri di profondità
• Peso: 791 grammi

Descrizione articolo

Riassunto

This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014.
The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.

Contenuti

MLeNN: A First Approach to Heuristic Multilabel Undersampling.- Development of Eye-Blink Controlled Application for Physically Handicapped Children.- Generation of Reducts Based on Nearest Neighbor Relation.- Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology.- User Behavior Modeling in a Cellular Network Using Latent Dirichlet Allocation.- Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners.- On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framework.- Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering.- TweetSemMiner: A Meta-Topic Identification Model for Twitter Using Semantic Analysis.- Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters.- Diversified Random Forests Using Random Subspaces.- Fast Frequent Pattern Detection Using Prime Numbers.- Multi-step Forecast Based on Modified Neural Gas Mixture Autoregressive Model.- LBP and Machine Learning for Diabetic Retinopathy Detection.- Automatic Validation of Flowmeter Data in Transport Water Networks: Application to the ATLLc Water Network.- Data Analysis for Detecting a Temporary Breath Inability Episode.- CPSO Applied in the Optimization of a Speech Recognition System.- Object-Neighbourhood Clustering Ensemble Method.- A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification.- Multi-Objective Genetic Algorithms for Sparse Least Square Support Vector Machines.- Pixel Classification and Heuristics for Facial Feature Localization.- A New Appearance Signature for Real Time Person Re-identification.- A New Hand Posture Recognizer Based on Hybrid Wavelet Network Including a Fuzzy Decision Support System.- Sim-EA: An Evolutionary Algorithm Based on Problem Similarity.- Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator.- Parameter Dependence in Cumulative Selection.- Explanatory Inference under Uncertainty.- A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model.- Intelligent Promotions Recommendation System for Instaprom Platform.- Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps.- Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification.- Ensemble-Distributed Approach in Classification Problem Solution for Intrusion Detection Systems.- Weight Update Sequence in MLP Networks.- Modeling of Bicomponent Mixing System Used in the Manufacture of Wind Generator Blades.- Branching to Find Feasible Solutions in Unmanned Air Vehicle Mission Planning.- Towards Data Mart Building from Social Network for Opinion Analysis.- A Novel Self Suppression Operator Used in TMA.- Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units – Dealing with Imbalanced and High-Dimensional Data.- Nonconvex Functions Optimization Using an Estimation of Distribution Algorithm Based on a Multivariate Extension of the Clayton Copula.- News Mining Using Evolving Fuzzy Systems.- Predicting Students’ Results Using Rough Sets Theory.- Graph-Based Object Class Discovery from Images with Multiple Objects.- A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer Weights.- A Drowsy Driver Detection System Based on a New Method of Head Posture Estimation.- A CBR-Based Game Recommender for Rehabilitation Videogames in Social Networks.- A New Semantic Approach for CBIR Based on Beta Wavelet Network Modeling Shape Refined by Texture and Color Features.- Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures.- EventStory: Event Detection Using Twitter Stream Based on Locality.- Univariate Marginal Distribution Algorithm with Markov Chain Predictor in Continuous Dynamic Environments.- A Diversity-Adaptive Hybrid Evolutionary Algorithm to Solve a Project Scheduling Problem.- Computing Platforms for Large-Scale Multi-Agent Simulations: The Niche for Heterogeneous Systems.- Fuzzy Tool for Proposal of Suitable Products in Online Store and CRM System.- Giving Voice to the Internet by Means of Conversational Agents.- Multivariate Cauchy EDA Optimisation.- Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems.- Zero–Latency Data Warehouse System Based on Parallel Processing and Cache Module.- Distributed Multimedia Information System for Traffic Monitoring and Managing.- Auto-adaptation of Genetic Operators for Multi-objective Optimization in the Firefighter Problem.- Business and Government Organizations' Adoption of Cloud Computing.