International Joint Conference SOCO'16-CISIS'16-ICEUTE'16 : San Sebastián, Spain, October 19th-21st, 2016 Proceedings

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2016, CISIS 2016 and ICEUTE 2016, all conferences held in the beautiful and historic city of San Sebastián (Spain), in October 2016. Soft computing represents a collection or set of computational tec...

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Corporate Authors: SOCO (Conference) San Sebastián, Spain), (jointly held conference.), International Conference on Complex, Intelligent, and Software Intensive Systems, ICEUTE (Conference)
Other Authors: Graña, Manuel, 1958- (Editor), López-Guede, José Manuel, (Editor), Etxaniz, Oier, (Editor), Herrero, Alvaro, (Editor), Quintián, Héctor, (Editor), Corchado, Emilio, (Editor)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, [2016]
Series: Advances in intelligent systems and computing ; 527.
Subjects:
Artificial intelligence > Congresses.
Soft computing > Congresses.
elektronické knihy
electronic books
ISBN: 9783319473642
9783319473635
Physical Description: 1 online resource (xxiv, 805 pages) : illustrations

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111 2 |a SOCO (Conference)  |n (11th :  |d 2016 :  |c San Sebastián, Spain),  |e jointly held conference. 
245 1 0 |a International Joint Conference SOCO'16-CISIS'16-ICEUTE'16 :  |b San Sebastián, Spain, October 19th-21st, 2016 Proceedings /  |c Manuel Graña, José Manuel López-Guede, Oier Etxaniz, Álvaro Herrero, Héctor Quintián, Emilio Corchado, editors. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource (xxiv, 805 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Advances in intelligent systems and computing,  |x 2194-5357 ;  |v 527 
500 |a International conference proceedings. 
500 |a Includes index. 
505 0 |a Preface; SOCO 2016; Contents; SOCO 2016: Classification; Predicting 30-Day Emergency Readmission Risk; Abstract; 1 Introduction; 2 Related Work; 3 Materials and Methods; 3.1 Support Vector Machine; 3.2 Random Forest; 4 Results; 4.1 Class Balancing; 4.2 Feature Selection; 5 Conclusions and Future Work; References; Use of Support Vector Machines and Neural Networks to Assess Boar Sperm Viability; 1 Introduction; 2 Description of the Features; 3 Experimental Results; 3.1 Linear and Quadratic Support Vector Machine; 3.2 Neural Network; 3.3 Discussion; 4 Conclusions; References 
505 8 |a Learning Fuzzy Models with a SAX-based Partitioning for Simulated Seizure Recognition1 Introduction; 2 Related Techniques; 2.1 AntMiner+; 2.2 Learning FRBC with ACS; 2.3 Simbolic Aggregation AproXimation; 3 Introducing SAX in the Model Learning; 4 Experiment and Results; 4.1 Materials and Methods; 4.2 Results and Discussion; 5 Conclusion; References; Real Prediction of Elder People Abnormal Situations at Home; 1 Introduction; 2 Dataset Description, Extraction and Reduce Strategy; 3 Modeling the Elders Behaviour; 4 New Raw Data Vectors to Improve Behaviour Modeling 
505 8 |a 5 The Hierarchical Supervised Classifier Learning6 Use Cases and Conclusion; References; SOCO 2016: Machine Learning; Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow; 1 Introduction; 2 Materials and Methods; 2.1 Data Description; 2.2 Feature Extraction Based on Principal Component Analysis; 2.3 Classification Based on TensorFlow; 3 Experiments and Results; 4 Discussion and Conclusions; References; Cyclone Performance Prediction Using Linear Regression Techniques; Abstract; 1 Introduction; 1.1 Operating Principle 
505 8 |a 1.2 Collection Efficiency2 Materials; 3 Methodology; 3.1 Linear Regression; 3.2 Enhanced Linear Regression; 3.3 Generalized Linear Regression; 3.4 Enhanced Generalized Linear Regression; 3.5 Method of Validation; 3.6 Model Efficiency; 4 Results; 5 Conclusions; References; Time Analysis of Air Pollution in a Spanish Region Through k-means; Abstract; 1 Introduction; 2 Clustering Techniques and Methods; 2.1 Cluster Evaluation Measures; 2.2 k-means Clustering Technique; 3 Real-Life Case Study; 4 Results and Discussion; 5 Conclusions and Future Work; References 
505 8 |a Using Non-invasive Wearables for Detecting Emotions with Intelligent Agents1 Introduction; 2 State of the Art; 3 Problem Description; 4 System Proposal; 4.1 Data Acquisition Process; 4.2 Emotion Recognition; 4.3 Wristband Prototype; 5 Conclusions and Future Work; References; Impulse Noise Detection in OFDM Communication System Using Machine Learning Ensemble Algorithms; Abstract; 1 Introduction; 2 System Model; 3 Multi-classifiers (Ensembles) Algorithms; 3.1 Bagging; 3.2 Boosting (Bos); 3.3 Random Forest (RF); 3.4 Stacking (Stack); 4 Simulations; 4.1 Simulation Set-up; 4.2 Results Discussion 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2016, CISIS 2016 and ICEUTE 2016, all conferences held in the beautiful and historic city of San Sebastián (Spain), in October 2016. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 11th SOCO 2016 International Program Committee selected 45 papers. In this relevant edition a special emphasis was put on the organization of special sessions. Two special session was organized related to relevant topics as: Optimization, Modeling and Control Systems by Soft Computing and Soft Computing Methods in Manufacturing and Management Systems. The aim of the 9th CISIS 2016 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of Computational Intelligence, Information Security, and Data Mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2016 International Program Committee selected 20 papers. In the case of 7th ICEUTE 2016, the International Program Committee selected 14 papers. 
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650 0 |a Artificial intelligence  |v Congresses. 
650 0 |a Soft computing  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Graña, Manuel,  |d 1958-  |e editor. 
700 1 |a López-Guede, José Manuel,  |e editor. 
700 1 |a Etxaniz, Oier,  |e editor. 
700 1 |a Herrero, Alvaro,  |e editor. 
700 1 |a Quintián, Héctor,  |e editor. 
700 1 |a Corchado, Emilio,  |e editor. 
711 2 |a International Conference on Complex, Intelligent, and Software Intensive Systems  |n (9th :  |d 2016 :  |c San Sebastián, Spain),  |j jointly held conference. 
711 2 |a ICEUTE (Conference)  |n (7th :  |d 2016 :  |c San Sebastián, Spain),  |j jointly held conference. 
830 0 |a Advances in intelligent systems and computing ;  |v 527. 
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