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Hybrid Artificial Intelligent Systems [[electronic resource] ] : 12th International Conference, HAIS 2017, La Rioja, Spain, June 21-23, 2017, Proceedings / / edited by Francisco Javier Martínez de Pisón, Rubén Urraca, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligent Systems [[electronic resource] ] : 12th International Conference, HAIS 2017, La Rioja, Spain, June 21-23, 2017, Proceedings / / edited by Francisco Javier Martínez de Pisón, Rubén Urraca, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVIII, 725 p. 248 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Programming languages (Electronic computers) Computer programming Application software Artificial Intelligence Algorithm Analysis and Problem Complexity Programming Languages, Compilers, Interpreters Programming Techniques Information Systems Applications (incl. Internet) |
| ISBN | 3-319-59650-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Data Mining, Knowledge Discovery and Big Data -- Word Embedding Based Event Detection on Social Media -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Word Embedding -- 3.4 Clustering Algorithm -- 4 Experiments and Results -- 5 Conclusion -- References -- Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? -- 1 Introduction -- 2 Sentiment Analysis -- 2.1 The Sentiment Analysis Problem -- 2.2 Sentiment Analysis Methods (SAMs) -- 3 Methodology -- 3.1 TripAdvisor -- 3.2 Web Scraping -- 3.3 Experimental Setup -- 4 Experiment Results -- 4.1 The Data Sets -- 4.2 Analysis of Results -- 5 Conclusions and Future Work -- References -- Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization -- 1 Introduction -- 2 Proposed Classification System -- 2.1 General Overview -- 2.2 Feature Space Reduction with Multiple Correspondence Analysis -- 2.3 Balancing the Skewed Distributions -- 2.4 Weighted Classifier Combination -- 3 Feature Extraction -- 4 Experimental Study -- 4.1 Dataset -- 4.2 Set-Up -- 4.3 Results and Discussion -- 5 Conclusions and Future Works -- References -- An Ontology for Generalized Disease Incidence Detection on Twitter -- Abstract -- 1 Introduction -- 1.1 Related Work -- 2 Materials and Methods -- 2.1 An Ontology for Disease Incidence Detection on Twitter -- 2.2 Feature Extraction -- 3 The Twitter Disease Incidence Detection Pipeline -- 3.1 Corpus Generation -- 3.2 Model Training -- 3.3 Doc2Vec Tuning -- 4 Evaluation -- 4.1 Results and Discussion -- 5 Conclusion and Future Work -- References -- Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for Searching Parsimony Models by Combining Hyperparameter Optimization and Feature Selection -- 1 Introduction.
2 Materials and Methods -- 2.1 Extreme Gradient Boosting Machines -- 2.2 Bayesian Optimization -- 2.3 GA-PARSIMONY Methodology -- 2.4 Hybrid Method Based on Bayesian Optimization and GA-PARSIMONY -- 3 Experiments -- 3.1 Datasets and Validation Process -- 3.2 GA-PARSIMONY Settings -- 3.3 Bayesian Optimization Settings -- 3.4 Hybrid Method Settings -- 4 Results and Discussion -- 5 Conclusions -- References -- Concept Discovery in Graph Databases -- 1 Introduction -- 2 Background -- 2.1 Concept Discovery -- 2.2 Graph Databases -- 3 The Proposed Method -- 4 Experiments -- 4.1 Datasets and Experimental Setting -- 4.2 Experimental Results -- 5 Conclusion -- References -- Leveraging Distributed Representations of Elements in Triples for Predicate Linking -- 1 Introduction -- 2 Problem Definition -- 3 Related Work -- 4 Approach -- 4.1 Statistical Pattern-Based Candidate Generation -- 4.2 Similarity-Based Candidate Generation -- 4.3 Candidate Selection -- 5 Experiment -- 5.1 Dataset -- 5.2 Setting -- 5.3 Result -- 6 Conclusion -- References -- A Review of Distributed Data Models for Learning -- Abstract -- 1 Introduction -- 2 Taxonomies of Data Distribution Models -- 2.1 The Impact of Data Partitioning -- 2.2 Taxonomy Based on Data Partition -- 2.3 Taxonomy Based on Data Flow Processing -- 2.4 Taxonomy Based on the Data Cooperation Strategies -- 3 MapReduce: A Data Distribution Oriented Paradigm -- 4 New Trends in Distributed Data -- 4.1 Making the Most of In-memory Capability -- 4.2 Allowing Interprocess Communication -- 4.3 Dealing with the Drawback of Data Partitioning -- 4.4 Dealing with Data Pre-processing -- 5 Conclusions -- Acknowledgements -- References -- Bio-inspired Models and Evolutionary Computation -- Incorporating More Scaled Differences to Differential Evolution -- 1 Introduction -- 2 Methodology -- 2.1 Differential Evolution and Its Variants. 2.2 Matrix Notation for DE -- 2.3 New Variants for Differential Evolution -- 2.4 Benchmark Functions -- 3 Results and Discussion -- 4 Conclusions -- References -- Topological Evolution of Financial Network: A Genetic Algorithmic Approach -- 1 Introduction -- 2 Discrete Time Warping Genetic Algorithm (dTWGA) -- 2.1 Solution Representation -- 2.2 Mutation -- 2.3 Fitness -- 2.4 Selection -- 2.5 Iteration -- 3 Financial Network Construction -- 3.1 Minimum Spanning Tree -- 3.2 Maximum Degree Ratio -- 3.3 Spectrum -- 4 Experiment -- 5 Results and Discussion -- 6 Conclusion -- References -- Optimization of Joint Sales Potential Using Genetic Algorithm -- Abstract -- 1 Introduction -- 2 Algorithm Design -- 2.1 Initialization -- 2.2 Evaluation -- 2.3 Reproduction -- 2.4 Evolution -- 3 Testing -- 3.1 Sources of Sample Networks -- 3.2 Effects of Exploration: Guided Versus Random -- 3.3 Joint Sales Potential Optimization -- 4 Results -- 5 Discussion -- 5.1 Sparsely-Connected Networks -- 5.2 Guided or Random Exploration? -- 5.3 Number of Generations -- 5.4 Directed Networks -- 6 Conclusion -- Acknowledgement -- References -- Evolutionary Multi-objective Scheduling for Anti-Spam Filtering Throughput Optimization -- Abstract -- 1 Introduction -- 2 State of the Art -- 2.1 Throughput Optimization -- 2.2 Filter Accuracy Optimization -- 3 Problem Formulation and Proposal -- 4 Experimental Study -- 5 Results Discussion -- 6 Conclusions and Future Work -- Acknowledgements -- References -- A Hybrid Diploid Genetic Based Algorithm for Solving the Generalized Traveling Salesman Problem -- 1 Introduction -- 2 Definition of the GTSP -- 3 The Hybrid Diploid Genetic Algorithm -- 3.1 The Upper-Level (Global) Subproblem -- 3.2 The Lower-Level (Local) Subproblem -- 3.3 The Diploid Genetic Algorithm -- 4 Computational Results -- 5 Conclusions -- References. A Novel Hybrid Nature-Inspired Scheme for Solving a Financial Optimization Problem -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Portfolio Optimization Problem -- 4 Combination of Two NII Algorithms for Portfolio Optimization -- 4.1 Differences Between Firefly and Gravitational Search Algorithm -- 5 Experimental Study -- 6 Financial Implications -- 7 Conclusions -- References -- Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO -- Abstract -- 1 Introduction -- 2 Particle Swarm Optimization -- 3 Heterogeneous Comprehensive Learning Particle Swarm Optimization -- 4 Hypersphere Universe Boundary Method -- 5 Experimental Setup -- 6 Results -- 7 Results Discussion -- 8 Conclusion -- Acknowledgements -- References -- PSO with Partial Population Restart Based on Complex Network Analysis -- Abstract -- 1 Introduction -- 2 Particle Swarm Optimization (PSO) -- 3 Proposed Method -- 4 Experiment Setup -- 5 Conclusion -- Acknowledgements -- References -- Learning Algorithms -- Kernel Density-Based Pattern Classification in Blind Fasteners Installation -- 1 Introduction -- 2 Blind Fasteners Installation -- 3 Kernel Density-Based Pattern Classification Approach -- 3.1 Kernel Density Estimation for Behavioral Patterns Identification -- 3.2 Behavioral Patterns Computation -- 3.3 Distance-Based Classification -- 4 Test Scenario -- 4.1 Description of the Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusions and Future Work -- References -- Training Set Fuzzification Towards Prediction Improvement -- Abstract -- 1 Introduction -- 1.1 Theoretical Background - Continuous Distributions -- 1.2 Fuzzification of Variables Using a Histogram -- 2 Sales Prediction Using Neural Networks -- 2.1 Training Set -- 2.2 Setting the Parameters of the Neural Network for Experimental Part -- 2.3 Experimental Results of a Sale Prediction. 3 Conclusion -- Acknowledgments -- References -- On the Impact of Imbalanced Data in Convolutional Neural Networks Performance -- 1 Introduction -- 2 The Imbalance Problem in Classification -- 3 Deep Learning -- 3.1 Convolutional Neural Network -- 4 Impact of Imbalanced Data on Convolutional Neural Networks -- 5 Experimentation -- 5.1 Experimental Framework -- 5.2 CNN Architecture -- 5.3 Results Analysis -- 6 Conclusions -- References -- Effectiveness of Basic and Advanced Sampling Strategies on the Classification of Imbalanced Data. A ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Basic and Advanced Resampling Strategies -- 3.1 Basic Resampling Strategies -- 3.2 Advanced Resampling Strategies -- 4 Performance Measures -- 5 Experimental Study -- 6 Experimental Results -- 6.1 Datasets -- 6.2 Applying Resampling Strategies and Machine Learning Algorithms -- 6.3 Statistical Comparison of Classifiers Over Multiple Datasets -- 6.4 Statistical Comparison of Resampling Methods Over Multiple Datasets -- 7 Conclusions -- References -- A Perceptron Classifier, Its Correctness Proof and a Probabilistic Interpretation -- 1 Introduction -- 2 The Perceptron -- 3 Kernel Learning -- 3.1 Positive Definite Kernels -- 3.2 The Optimal Separating Hyperplane -- 3.3 The Representer Theorem, See [18] -- 4 Correctness Proof of the Modified Pocket Algorithm -- 5 Probabilistic Interpretation of the Decision Procedure -- 6 Conclusion and Outlook -- References -- Parallel Implementation of a Simplified Semi-physical Wildland Fire Spread Model Using OpenMP -- 1 Introduction -- 2 The Model -- 3 Parallel Model Implementation -- 4 Experiments and Results -- 4.1 Real Case Study -- 4.2 Performance Analysis/Evaluation -- 5 Conclusions and Further Research -- References -- A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost -- 1 Introduction. 2 Class Noise. Preprocessing vs. Robust Methods. |
| Record Nr. | UNINA-9910484314803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hybrid Artificial Intelligent Systems [[electronic resource] ] : 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings / / edited by Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligent Systems [[electronic resource] ] : 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings / / edited by Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIX, 765 p. 211 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Computers Pattern recognition Optical data processing Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-319-32034-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Mining and Knowledge Discovery -- Time series -- Bio-inspired Models and Evolutionary Computation -- Learning Algorithms -- Video and Image -- Classification and Cluster Analysis -- Applications -- Bioinformatics -- Hybrid Intelligent Systems for Data Mining and Applications. |
| Record Nr. | UNISA-996465703403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Hybrid Artificial Intelligent Systems [[electronic resource] ] : 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings / / edited by Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligent Systems [[electronic resource] ] : 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings / / edited by Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIX, 765 p. 211 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Computers Pattern recognition Optical data processing Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-319-32034-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Mining and Knowledge Discovery -- Time series -- Bio-inspired Models and Evolutionary Computation -- Learning Algorithms -- Video and Image -- Classification and Cluster Analysis -- Applications -- Bioinformatics -- Hybrid Intelligent Systems for Data Mining and Applications. |
| Record Nr. | UNINA-9910483788403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hybrid Artificial Intelligent Systems [[electronic resource] ] : 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015, Proceedings / / edited by Enrique Onieva, Igor Santos, Eneko Osaba, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligent Systems [[electronic resource] ] : 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015, Proceedings / / edited by Enrique Onieva, Igor Santos, Eneko Osaba, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 740 p. 251 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Computers Pattern recognition Optical data processing Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-319-19644-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data mining and knowledge discovery -- Video and image analysis -- Bio-inspired models and evolutionary computation -- Learning algorithms -- Hybrid intelligent systems for data mining and applications -- Classification and cluster analysis -- HAIS applications. |
| Record Nr. | UNISA-996200019503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Hybrid Artificial Intelligent Systems [[electronic resource] ] : 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015, Proceedings / / edited by Enrique Onieva, Igor Santos, Eneko Osaba, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligent Systems [[electronic resource] ] : 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015, Proceedings / / edited by Enrique Onieva, Igor Santos, Eneko Osaba, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 740 p. 251 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Computers Pattern recognition Optical data processing Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-319-19644-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data mining and knowledge discovery -- Video and image analysis -- Bio-inspired models and evolutionary computation -- Learning algorithms -- Hybrid intelligent systems for data mining and applications -- Classification and cluster analysis -- HAIS applications. |
| Record Nr. | UNINA-9910483755503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning -- IDEAL 2014 [[electronic resource] ] : 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings / / edited by Emilio Corchado, José A. Lozano, Héctor Quintián, Hujun Yin
| Intelligent Data Engineering and Automated Learning -- IDEAL 2014 [[electronic resource] ] : 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings / / edited by Emilio Corchado, José A. Lozano, Héctor Quintián, Hujun Yin |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XX, 508 p. 147 illus.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Pattern recognition Artificial intelligence Algorithms Information storage and retrieval Computers Data Mining and Knowledge Discovery Pattern Recognition Artificial Intelligence Algorithm Analysis and Problem Complexity Information Storage and Retrieval Computation by Abstract Devices |
| ISBN | 3-319-10840-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Table of Contents -- MLeNN: A First Approach to Heuristic Multilabel Undersampling -- 1 Introduction -- 2 Preliminaries -- 3 Heuristic Multilabel Undersampling with MLeNN -- 3.1 Candidate Selection -- 3.2 Labelset difference Evaluation -- 4 Experimentation and Analysis -- 4.1 Experimental Framework -- 4.2 Results and Analysis -- 5 Conclusions -- References -- Development of Eye-Blink Controlled Application for Physically Handicapped Children -- 1 Introduction -- 2 Purpose of the Study -- 3 Structure of the System -- 3.1 Detection of an Eye Area -- 3.2 Detection of Eye Opening and Closing -- 3.3 Detecting Method by Saturation in Color Space -- 3.4 Detection of Eye Opening and Closing -- 3.5 Developing Afterimage Method -- 4 Developing Communication Applications -- 4.1 Eye Talk, Eye Tell -- 5 Conclusion -- References -- Generation of Reducts Based on Nearest Neighbor Relation -- 1 Introduction -- 2 Nearest Neighbor Relation -- 3 Nearest Neighbor Relation for Reduct Generation -- 3.1 Generation of Reducts Based on Nearest Neighbor Relation with Minimal Distance -- 4 Mapping of Nearest Neighbor Relation on Modified Reducts -- 4.1 Characterization of Reducts by Using Nearest Neighbor Relation -- 5 Classification by Mapping of Nearest Neighbor Relation -- 6 Conclusion -- References -- Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology -- 1 Introduction -- 2 Related Work -- 3 MOOC's Domain Ontology and Feedback -- 3.1 Phase I: Building Domain Ontology -- 3.2 Phase II: Processing Students Posts -- 3.3 Phase III: Feedback Generating -- 4 Experimental Setting and Results -- 5 Summary and Future Work -- References -- User Behavior Modeling in a Cellular Network Using Latent Dirichlet Allocation -- 1 Introduction -- 2 User Behavior Modeling.
2.1 Analogy between Topic Modeling and User Behavior Modeling -- 2.2 Overview of Latent Dirichlet Allocation -- 3 Overview of the Dataset and Implementation -- 3.1 Data Trace -- 3.2 Implementation: Mr.LDA -- 4 Discovering Hidden Interests of the Mobile Users -- 4.1 Objectives -- 4.2 Stop URLs: What Are They ? -- 4.3 Encoding of Duration: Oversampling of URLs -- 4.4 Informed Prior -- 5 Experimental Analysis -- 6 Conclusions and Future Works -- References -- Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners -- 1 Introduction -- 2 Accuracy of Best Expert Selection -- 3 Accuracy of Linear Expert Fusion -- 4 Analytical and Empirical Comparison: An Example -- 5 Concluding Remarks -- References -- On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framework -- 1 Introduction -- 2 Background and Related Work -- 2.1 Linked Data: Interlinking and Ontology Matching -- 2.2 Map-Reduce Framework -- 2.3 Related Work -- 3 Proposed Interlinking Approach -- 3.1 Ontology Matching through Datasets Linksets -- 3.2 Matching Entities by Similarity Measure -- 4 Experiments -- 5 Conclusions and Future Research Lines -- References -- Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering -- 1 Introduction -- 2 Borderline and Noisy Examples in Imbalanced Datasets -- 2.1 Imbalanced Classification with Borderline and Noisy Examples -- 2.2 Combining SMOTE and IPF -- 3 Experimental Analysis -- 3.1 Datasets and Re-sampling Techniques for Comparison -- 3.2 Results on Synthetic Datasets -- 4 Concluding Remarks -- References -- TweetSemMiner: A Meta-Topic Identification Model for Twitter Using Semantic Analysis -- 1 Introduction -- 2 TweetSemMiner: The Twitter Meta-topic Analysis Architecture -- 2.1 TweetSemMiner Architecture. 2.2 TweetSemMiner Execution -- 3 Experimental Results -- 4 Conclusions and Future Work -- References -- Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters -- 1 Introduction -- 2 Dataset -- 2.1 Subjects -- 2.2 Signal Acquisition Details -- 2.3 Dataset Detail -- 3 Methodology -- 3.1 Initial Feature Extraction and Results -- 3.2 Pre-processing Requirement -- 3.3 Empirical Mode Decomposition (EMD) -- 3.4 Tailored Preprocessing Method Employed -- 3.5 Enhanced Feature Extraction -- 4 Results -- 4.1 Results Using Data Cleaned through IMF Subtraction -- 4.2 Further Analysis of Dataset -- 5 Discussion -- 6 Future Work -- References -- Diversified Random Forests Using Random Subspaces -- 1 Introduction -- 2 Random Forests: An Overview -- 3 Diversified Random Forests -- 4 Experimental Study -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Fast Frequent Pattern Detection Using Prime Numbers -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 The Proposed Approach -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- Multi-step Forecast Based on Modified Neural Gas Mixture Autoregressive Model -- 1 Introduction -- 2 Methodology -- 2.1 Training Vectors -- 2.2 Structure of Neurons -- 2.3 Training Procedure -- 2.4 Predicting Procedure -- 3 Experimental Results -- 3.1 Foreign Exchange Rates -- 3.2 Benchmark Data -- 4 Conclusion and Future Work -- References -- LBP and Machine Learning for Diabetic Retinopathy Detection -- 1 Introduction -- 2 Diabetic Retinopathy -- 3 The Method -- 3.1 Feature Extraction -- 3.2 Machine Learning Algorithms -- 4 Experimental Results -- 5 Conclusions -- References -- Automatic Validation of Flowmeter Data in Transport Water Networks: Application to the ATLLc Water Network -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Data Validation Methodology. 2.2 Data Reconstruction Methodology -- 3 Models for Data Validation and Reconstruction -- 3.1 Spatial Model -- 3.2 Time-Series Model -- 4 Application to the ATLLc Water Network -- 5 Conclusions -- References -- Data Analysis for Detecting a Temporary Breath Inability Episode -- 1 Introduction -- 2 A Brief Description of the Methods for the Apnea Diagnosis -- 3 Decisions on Posture and Remarkable Patterns -- 3.1 Deployment of the Relevant Patterns -- 4 Experimentation and Results -- 5 Conclusions and Future Research Lines -- References -- CPSO Applied in the Optimization of a Speech Recognition System -- 1 Introduction -- 2 Methodology -- 2.1 Pre-processing Speech Signal -- 2.2 Two-Dimensional Time Matrix DCT Coding -- 2.3 Rule Base Used for Speech Recognition -- 2.4 Generation of Fuzzy Patterns -- 3 Optimization of Relational Surface with Particle Swarm -- 4 Results -- 5 Conclusion -- References -- Object-Neighbourhood Clustering Ensemble Method -- 1 Introduction -- 2 Related Work -- 3 Object-Neighbourhood Clustering Ensemble -- 4 Experimental Design -- 4.1 Experiment Procedure -- 4.2 Datasets -- 5 Results and Analysis -- 6 Conclusion -- References -- A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification -- 1 Introduction -- 2 Methods and Algorithms -- 3 Experimental Results and Discussion -- 4 Conclusions -- References -- Multi-Objective Genetic Algorithms for Sparse Least Square Support Vector Machines -- 1 Introduction -- 2 LSSVM Classifiers -- 3 Sparse Classifiers -- 3.1 Pruning LSSVM -- 3.2 IP-LSSVM -- 4 Genetic Algorithms -- 5 Proposal: Multi-Objective Genetic Algorithm for Sparse LSSVM (MOGAS-LSSVM) -- 5.1 Individuals or Chromosomes -- 5.2 Fitness Function for MOGAS-LSSVM -- 5.3 MOGAS-LSSVM Algorithm -- 6 Simulations and Discussion -- 7 Conclusions -- References. Pixel Classification and Heuristics for Facial Feature Localization -- 1 Introduction -- 2 Methodology -- 2.1 General View -- 2.2 Feature Extraction -- 2.3 Feature Selection -- 2.4 Post-processing Heuristic -- 3 Results and Discussion -- 4 Conclusion -- References -- A New Appearance Signature for Real Time Person Re-identification -- 1 Introduction -- 2 Proposed Approach -- 2.1 Feature Extraction -- 2.2 Body Stripes Selection -- 3 Experimental Results -- 3.1 Presentation of VIPeR Database and Experimental Setup -- 3.2 Evaluation of Our Appearance Signature Parameters -- 3.3 Comparison with Recent State-of-the-Art Methods -- 4 Conclusion -- References -- A New Hand Posture Recognizer Based on Hybrid Wavelet Network Including a Fuzzy Decision Support System -- 1 Introduction -- 2 Overview of the Proposed Approach to Recognize Statistic Hand Gestures -- 2.1 Approximation with HFWN -- 2.2 Classification -- 3 Experimental Results -- 4 Conclusion and Future Works -- References -- Sim-EA: An Evolutionary Algorithm Based on Problem Similarity -- 1 Introduction -- 2 Algorithm Description -- 3 Experiments and Results -- 3.1 Test Problem Definition -- 3.2 Results -- 4 Conclusion -- References -- Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator -- 1 Introduction -- 2 Problem Statement -- 3 Evolutionary Algorithm -- 3.1 The Main Loop -- 4 Experiments and Results -- 5 Conclusions -- References -- Parameter Dependence in Cumulative Selection -- 1 Introduction -- 2 The Weasel Program -- 2.1 The Model -- 2.2 Results -- 3 A Genetic Algorithm Approach -- 3.1 The Model -- 3.2 Results -- 4 Conclusions -- References -- Explanatory Inference under Uncertainty -- 1 Introduction -- 2 Measures of Explanatory Power -- 3 Methodology -- 4 Simulations and Results -- 5 Conclusion -- References. A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model. |
| Record Nr. | UNINA-9910484009303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning -- IDEAL 2014 [[electronic resource] ] : 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings / / edited by Emilio Corchado, José A. Lozano, Héctor Quintián, Hujun Yin
| Intelligent Data Engineering and Automated Learning -- IDEAL 2014 [[electronic resource] ] : 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings / / edited by Emilio Corchado, José A. Lozano, Héctor Quintián, Hujun Yin |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XX, 508 p. 147 illus.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Pattern recognition Artificial intelligence Algorithms Information storage and retrieval Computers Data Mining and Knowledge Discovery Pattern Recognition Artificial Intelligence Algorithm Analysis and Problem Complexity Information Storage and Retrieval Computation by Abstract Devices |
| ISBN | 3-319-10840-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Table of Contents -- MLeNN: A First Approach to Heuristic Multilabel Undersampling -- 1 Introduction -- 2 Preliminaries -- 3 Heuristic Multilabel Undersampling with MLeNN -- 3.1 Candidate Selection -- 3.2 Labelset difference Evaluation -- 4 Experimentation and Analysis -- 4.1 Experimental Framework -- 4.2 Results and Analysis -- 5 Conclusions -- References -- Development of Eye-Blink Controlled Application for Physically Handicapped Children -- 1 Introduction -- 2 Purpose of the Study -- 3 Structure of the System -- 3.1 Detection of an Eye Area -- 3.2 Detection of Eye Opening and Closing -- 3.3 Detecting Method by Saturation in Color Space -- 3.4 Detection of Eye Opening and Closing -- 3.5 Developing Afterimage Method -- 4 Developing Communication Applications -- 4.1 Eye Talk, Eye Tell -- 5 Conclusion -- References -- Generation of Reducts Based on Nearest Neighbor Relation -- 1 Introduction -- 2 Nearest Neighbor Relation -- 3 Nearest Neighbor Relation for Reduct Generation -- 3.1 Generation of Reducts Based on Nearest Neighbor Relation with Minimal Distance -- 4 Mapping of Nearest Neighbor Relation on Modified Reducts -- 4.1 Characterization of Reducts by Using Nearest Neighbor Relation -- 5 Classification by Mapping of Nearest Neighbor Relation -- 6 Conclusion -- References -- Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology -- 1 Introduction -- 2 Related Work -- 3 MOOC's Domain Ontology and Feedback -- 3.1 Phase I: Building Domain Ontology -- 3.2 Phase II: Processing Students Posts -- 3.3 Phase III: Feedback Generating -- 4 Experimental Setting and Results -- 5 Summary and Future Work -- References -- User Behavior Modeling in a Cellular Network Using Latent Dirichlet Allocation -- 1 Introduction -- 2 User Behavior Modeling.
2.1 Analogy between Topic Modeling and User Behavior Modeling -- 2.2 Overview of Latent Dirichlet Allocation -- 3 Overview of the Dataset and Implementation -- 3.1 Data Trace -- 3.2 Implementation: Mr.LDA -- 4 Discovering Hidden Interests of the Mobile Users -- 4.1 Objectives -- 4.2 Stop URLs: What Are They ? -- 4.3 Encoding of Duration: Oversampling of URLs -- 4.4 Informed Prior -- 5 Experimental Analysis -- 6 Conclusions and Future Works -- References -- Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners -- 1 Introduction -- 2 Accuracy of Best Expert Selection -- 3 Accuracy of Linear Expert Fusion -- 4 Analytical and Empirical Comparison: An Example -- 5 Concluding Remarks -- References -- On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framework -- 1 Introduction -- 2 Background and Related Work -- 2.1 Linked Data: Interlinking and Ontology Matching -- 2.2 Map-Reduce Framework -- 2.3 Related Work -- 3 Proposed Interlinking Approach -- 3.1 Ontology Matching through Datasets Linksets -- 3.2 Matching Entities by Similarity Measure -- 4 Experiments -- 5 Conclusions and Future Research Lines -- References -- Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering -- 1 Introduction -- 2 Borderline and Noisy Examples in Imbalanced Datasets -- 2.1 Imbalanced Classification with Borderline and Noisy Examples -- 2.2 Combining SMOTE and IPF -- 3 Experimental Analysis -- 3.1 Datasets and Re-sampling Techniques for Comparison -- 3.2 Results on Synthetic Datasets -- 4 Concluding Remarks -- References -- TweetSemMiner: A Meta-Topic Identification Model for Twitter Using Semantic Analysis -- 1 Introduction -- 2 TweetSemMiner: The Twitter Meta-topic Analysis Architecture -- 2.1 TweetSemMiner Architecture. 2.2 TweetSemMiner Execution -- 3 Experimental Results -- 4 Conclusions and Future Work -- References -- Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters -- 1 Introduction -- 2 Dataset -- 2.1 Subjects -- 2.2 Signal Acquisition Details -- 2.3 Dataset Detail -- 3 Methodology -- 3.1 Initial Feature Extraction and Results -- 3.2 Pre-processing Requirement -- 3.3 Empirical Mode Decomposition (EMD) -- 3.4 Tailored Preprocessing Method Employed -- 3.5 Enhanced Feature Extraction -- 4 Results -- 4.1 Results Using Data Cleaned through IMF Subtraction -- 4.2 Further Analysis of Dataset -- 5 Discussion -- 6 Future Work -- References -- Diversified Random Forests Using Random Subspaces -- 1 Introduction -- 2 Random Forests: An Overview -- 3 Diversified Random Forests -- 4 Experimental Study -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Fast Frequent Pattern Detection Using Prime Numbers -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 The Proposed Approach -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- Multi-step Forecast Based on Modified Neural Gas Mixture Autoregressive Model -- 1 Introduction -- 2 Methodology -- 2.1 Training Vectors -- 2.2 Structure of Neurons -- 2.3 Training Procedure -- 2.4 Predicting Procedure -- 3 Experimental Results -- 3.1 Foreign Exchange Rates -- 3.2 Benchmark Data -- 4 Conclusion and Future Work -- References -- LBP and Machine Learning for Diabetic Retinopathy Detection -- 1 Introduction -- 2 Diabetic Retinopathy -- 3 The Method -- 3.1 Feature Extraction -- 3.2 Machine Learning Algorithms -- 4 Experimental Results -- 5 Conclusions -- References -- Automatic Validation of Flowmeter Data in Transport Water Networks: Application to the ATLLc Water Network -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Data Validation Methodology. 2.2 Data Reconstruction Methodology -- 3 Models for Data Validation and Reconstruction -- 3.1 Spatial Model -- 3.2 Time-Series Model -- 4 Application to the ATLLc Water Network -- 5 Conclusions -- References -- Data Analysis for Detecting a Temporary Breath Inability Episode -- 1 Introduction -- 2 A Brief Description of the Methods for the Apnea Diagnosis -- 3 Decisions on Posture and Remarkable Patterns -- 3.1 Deployment of the Relevant Patterns -- 4 Experimentation and Results -- 5 Conclusions and Future Research Lines -- References -- CPSO Applied in the Optimization of a Speech Recognition System -- 1 Introduction -- 2 Methodology -- 2.1 Pre-processing Speech Signal -- 2.2 Two-Dimensional Time Matrix DCT Coding -- 2.3 Rule Base Used for Speech Recognition -- 2.4 Generation of Fuzzy Patterns -- 3 Optimization of Relational Surface with Particle Swarm -- 4 Results -- 5 Conclusion -- References -- Object-Neighbourhood Clustering Ensemble Method -- 1 Introduction -- 2 Related Work -- 3 Object-Neighbourhood Clustering Ensemble -- 4 Experimental Design -- 4.1 Experiment Procedure -- 4.2 Datasets -- 5 Results and Analysis -- 6 Conclusion -- References -- A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification -- 1 Introduction -- 2 Methods and Algorithms -- 3 Experimental Results and Discussion -- 4 Conclusions -- References -- Multi-Objective Genetic Algorithms for Sparse Least Square Support Vector Machines -- 1 Introduction -- 2 LSSVM Classifiers -- 3 Sparse Classifiers -- 3.1 Pruning LSSVM -- 3.2 IP-LSSVM -- 4 Genetic Algorithms -- 5 Proposal: Multi-Objective Genetic Algorithm for Sparse LSSVM (MOGAS-LSSVM) -- 5.1 Individuals or Chromosomes -- 5.2 Fitness Function for MOGAS-LSSVM -- 5.3 MOGAS-LSSVM Algorithm -- 6 Simulations and Discussion -- 7 Conclusions -- References. Pixel Classification and Heuristics for Facial Feature Localization -- 1 Introduction -- 2 Methodology -- 2.1 General View -- 2.2 Feature Extraction -- 2.3 Feature Selection -- 2.4 Post-processing Heuristic -- 3 Results and Discussion -- 4 Conclusion -- References -- A New Appearance Signature for Real Time Person Re-identification -- 1 Introduction -- 2 Proposed Approach -- 2.1 Feature Extraction -- 2.2 Body Stripes Selection -- 3 Experimental Results -- 3.1 Presentation of VIPeR Database and Experimental Setup -- 3.2 Evaluation of Our Appearance Signature Parameters -- 3.3 Comparison with Recent State-of-the-Art Methods -- 4 Conclusion -- References -- A New Hand Posture Recognizer Based on Hybrid Wavelet Network Including a Fuzzy Decision Support System -- 1 Introduction -- 2 Overview of the Proposed Approach to Recognize Statistic Hand Gestures -- 2.1 Approximation with HFWN -- 2.2 Classification -- 3 Experimental Results -- 4 Conclusion and Future Works -- References -- Sim-EA: An Evolutionary Algorithm Based on Problem Similarity -- 1 Introduction -- 2 Algorithm Description -- 3 Experiments and Results -- 3.1 Test Problem Definition -- 3.2 Results -- 4 Conclusion -- References -- Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator -- 1 Introduction -- 2 Problem Statement -- 3 Evolutionary Algorithm -- 3.1 The Main Loop -- 4 Experiments and Results -- 5 Conclusions -- References -- Parameter Dependence in Cumulative Selection -- 1 Introduction -- 2 The Weasel Program -- 2.1 The Model -- 2.2 Results -- 3 A Genetic Algorithm Approach -- 3.1 The Model -- 3.2 Results -- 4 Conclusions -- References -- Explanatory Inference under Uncertainty -- 1 Introduction -- 2 Measures of Explanatory Power -- 3 Methodology -- 4 Simulations and Results -- 5 Conclusion -- References. A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model. |
| Record Nr. | UNISA-996198261703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
International Joint Conference [[electronic resource] ] : CISIS’15 and ICEUTE’15 / / edited by Álvaro Herrero, Bruno Baruque, Javier Sedano, Héctor Quintián, Emilio Corchado
| International Joint Conference [[electronic resource] ] : CISIS’15 and ICEUTE’15 / / edited by Álvaro Herrero, Bruno Baruque, Javier Sedano, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (621 p.) |
| Disciplina |
006.3
006.312 378 620 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Higher education Data mining Computational Intelligence Artificial Intelligence Higher Education Data Mining and Knowledge Discovery |
| ISBN | 3-319-19713-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Intelligent Methods for Security -- Infrastructure and Network Security -- CISIS15-SS01: Digital Identities Management by Means of Non-Standard Digital Signatures Schemes -- CISIS15-SS02: User-Centric Security & Privacy -- Domain Applications and Case Studies -- Information Technologies for Transnational Learning -- Teaching and Evaluation Methodologies. |
| Record Nr. | UNINA-9910733712803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023) [[electronic resource] ] : Proceedings / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
| International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023) [[electronic resource] ] : Proceedings / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado |
| Autore | García Bringas Pablo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (377 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Pérez GarcíaHilde
Martínez de PisónFrancisco Javier Martínez ÁlvarezFrancisco Troncoso LoraAlicia HerreroÁlvaro Calvo RolleJosé Luis QuintiánHéctor CorchadoEmilio |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Education Computational Intelligence Data Engineering |
| ISBN | 3-031-42519-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Finding and removing infected T -trees in IoT networks -- Intrusion Detection and Prevention in Industrial Internet of Things: A Study -- Critical analysis of global models for malware propagation on wireless sensor networks -- A novel method for failure detection based on real-time systems identification -- Accountability & explainability in robotics: a proof of concept for ROS 2- and Nav2-based mobile robots -- Reducing the security margin against a differential attack in the TinyJambu cryptosystem -- Analysis of extractive text summarization methods as a binary classification problem -- Systematic literature review of methods used for SQL injection detection based on intelligent algorithms -- Benchmarking Classifiers for DDoS Attack Detection in Industrial IoT Networks -- Impact of the Keep-Alive Parameter on SQL Injection Attack Detection in Network Flow Data -- QuantumSolver Composer: Automatic Quantum Transformation of Classical Circuits. |
| Record Nr. | UNINA-9910742494903321 |
García Bringas Pablo
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions [[electronic resource] /] / edited by Álvaro Herrero, Václav Snášel, Ajith Abraham, Ivan Zelinka, Bruno Baruque, Héctor Quintián, José Luis Calvo, Javier Sedano, Emilio Corchado
| International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions [[electronic resource] /] / edited by Álvaro Herrero, Václav Snášel, Ajith Abraham, Ivan Zelinka, Bruno Baruque, Héctor Quintián, José Luis Calvo, Javier Sedano, Emilio Corchado |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (556 p.) |
| Disciplina |
006.3
006.3/1 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN |
1-283-91253-8
3-642-33018-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Intelligent Methods for Security -- Infrastructure and Network Security -- Intelligent Network Security and Survivability -- Text Processing Applications to Secure and Intelligent Systems -- Soft Computing Models for Biomedical Signals and Data Processing. |
| Record Nr. | UNINA-9910437887003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
