Intelligent Data Engineering and Automated Learning - IDEAL 2014 | 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings
Lingua: inglese
Editore: Springer, 2014
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Intelligent Data Engineering and Automated Learning - IDEAL 2014 | 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings | Emilio S. Corchado (u. a.) | Taschenbuch | xx | Englisch | 2014 | Springer | EAN 9783319108391 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Codice articolo 105178196
- Titolo
- Intelligent Data Engineering and Automated Learning - IDEAL 2014 | 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings
- Autore
- Emilio S. Corchado (u. a.)
- Editore
- Springer
- Anno di pubblicazione
- 2014
- Condizione
- Neu
- Rilegatura
- Taschenbuch
- Lingua
- inglese
- ISBN 10
- 3319108395
- ISBN 13
- 9783319108391
- Peso dell'articolo
- 791 grammi
- Dimensioni
- 237 x 157 x 26 mm
- Cataloghi dei venditori
- Bücher
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.
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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.
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