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Advances in Intelligent Data Analysis XI [[electronic resource] ] : 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012, Proceedings / / edited by Jaakko Hollmen, Frank Klawonn, Allan Tucker
| Advances in Intelligent Data Analysis XI [[electronic resource] ] : 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012, Proceedings / / edited by Jaakko Hollmen, Frank Klawonn, Allan Tucker |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XIV, 426 p. 136 illus.) |
| Disciplina | 519.5 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Information storage and retrieval Algorithms Data mining Database Management Information Systems Applications (incl. Internet) Artificial Intelligence Information Storage and Retrieval Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-642-34156-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent Data Analysis of Human Genetic Data -- Queries for Data Analysis -- Parallel Data Mining Revisited. Better, not Faster -- Weighting Features for Partition Around Medoids Using the Minkowski Metric -- On Initializations for the Minkowski Weighted K-Means -- A Skew-t-normal Multi-level Reduced-rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data -- Methodological Foundation for Sign Language 3D Motion Trajectory Analysis -- Assembly Detection in Continuous Neural Spike Train Data -- Online Techniques for Dealing with Concept Drift in Process Mining -- An Evolutionary Based Clustering Algorithm Applied to Data Compression for Industrial Systems -- Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns -- Discriminative Dimensionality Reduction Mappings -- Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules -- Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation -- MCut: A Thresholding Strategy for Multi-label Classification -- Improving Tag Recommendation Using Few Associations -- Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models -- Constrained Clustering Using SAT -- Two-stage Approach for Electricity Consumption Forecasting in Public Buildings -- Online Predictive Model for Taxi Services -- Analysis of Noisy Biosignals for Musical Performance -- Information Theoretic Approach to Improve Performance of Networked Control Systems -- Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval -- Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data -- Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields -- Patch-based Data Analysis Using Linear-Projection Diffusion -- Dictionary Construction for Patch-to-Tensor Embedding -- Where Are We Going? Predicting the Evolution of Individuals -- Use of General Purpose GPU Programing to Enhance the Classification of Leukemia Blast Cells in Blood Smear Images -- Intelligent Data Analysis by a Home-Use Human Monitoring Robot -- Sleep Musicalization: Automatic Music Composition from Sleep Measurements -- Engine Parameter Outlier Detection: Verification by Simulating PID Controllers Generated by Genetic Algorithm -- Unit Operational Pattern Analysis and Forecasting using EMD and SSA for Industrial Systems. |
| Record Nr. | UNISA-996465294403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Computational Intelligence : A Methodological Introduction / / by Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
| Computational Intelligence : A Methodological Introduction / / by Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held |
| Autore | Kruse Rudolf |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | London : , : Springer London : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (488 p.) |
| Disciplina | 004 |
| Collana | Texts in Computer Science |
| Soggetto topico |
Artificial intelligence
Engineering mathematics Engineering - Data processing Artificial Intelligence Mathematical and Computational Engineering Applications |
| ISBN | 1-4471-5013-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Part I: Neural Networks -- Introduction -- Threshold Logic Units -- General Neural Networks -- Multi-Layer Perceptrons -- Radial Basis Function Networks -- Self-Organizing Maps -- Hopfield Networks -- Recurrent Networks -- Mathematical Remarks -- Part II: Evolutionary Algorithms -- Introduction to Evolutionary Algorithms -- Elements of Evolutionary Algorithms -- Fundamental Evolutionary Algorithms -- Special Applications and Techniques -- Part III: Fuzzy Systems -- Fuzzy Sets and Fuzzy Logic -- The Extension Principle -- Fuzzy Relations -- Similarity Relations -- Fuzzy Control -- Fuzzy Clustering -- Part IV: Bayes Networks -- Introduction to Bayes Networks -- Elements of Probability and Graph Theory -- Decompositions -- Evidence Propagation -- Learning Graphical Models. |
| Record Nr. | UNINA-9910437580803321 |
Kruse Rudolf
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| London : , : Springer London : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Guide to Intelligent Data Science [[electronic resource] ] : How to Intelligently Make Use of Real Data / / by Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo
| Guide to Intelligent Data Science [[electronic resource] ] : How to Intelligently Make Use of Real Data / / by Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo |
| Autore | Berthold Michael R |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 420 p. 179 illus., 122 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Texts in Computer Science |
| Soggetto topico |
Data mining
Machine learning Big data Data Mining and Knowledge Discovery Machine Learning Big Data/Analytics |
| ISBN | 3-030-45574-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Practical Data Analysis: An Example -- Project Understanding -- Data Understanding -- Principles of Modeling -- Data Preparation -- Finding Patterns -- Finding Explanations -- Finding Predictors -- Evaluation and Deployment -- The Labelling Problem -- Appendix A: Statistics -- Appendix B: KNIME. |
| Record Nr. | UNISA-996465468003316 |
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Berthold Michael R
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data / / by Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo
| Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data / / by Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo |
| Autore | Berthold Michael R |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 420 p. 179 illus., 122 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Texts in Computer Science |
| Soggetto topico |
Data mining
Machine learning Big data Data Mining and Knowledge Discovery Machine Learning Big Data/Analytics |
| ISBN | 3-030-45574-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Practical Data Analysis: An Example -- Project Understanding -- Data Understanding -- Principles of Modeling -- Data Preparation -- Finding Patterns -- Finding Explanations -- Finding Predictors -- Evaluation and Deployment -- The Labelling Problem -- Appendix A: Statistics -- Appendix B: KNIME. |
| Record Nr. | UNINA-9910416083303321 |
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Berthold Michael R
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Health Information Science [[electronic resource] ] : Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings / / edited by Guangyan Huang, Xiaohui Liu, Jing He, Frank Klawonn, Guiqing Yao
| Health Information Science [[electronic resource] ] : Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings / / edited by Guangyan Huang, Xiaohui Liu, Jing He, Frank Klawonn, Guiqing Yao |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 280 p. 92 illus.) |
| Disciplina | 610.285 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Health informatics
Application software Information technology Business—Data processing Information storage and retrieval Data mining Artificial intelligence Health Informatics Information Systems Applications (incl. Internet) IT in Business Information Storage and Retrieval Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 3-642-37899-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Medical, health, biomedicine information resources -- Data management, data mining, and knowledge discovery -- Development of new architectures and applications for health information systems. |
| Record Nr. | UNISA-996466199303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Health Information Science : Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings / / edited by Guangyan Huang, Xiaohui Liu, Jing He, Frank Klawonn, Guiqing Yao
| Health Information Science : Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings / / edited by Guangyan Huang, Xiaohui Liu, Jing He, Frank Klawonn, Guiqing Yao |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 280 p. 92 illus.) |
| Disciplina | 610.285 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Health informatics
Application software Information technology Business—Data processing Information storage and retrieval Data mining Artificial intelligence Health Informatics Information Systems Applications (incl. Internet) IT in Business Information Storage and Retrieval Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 3-642-37899-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Medical, health, biomedicine information resources -- Data management, data mining, and knowledge discovery -- Development of new architectures and applications for health information systems. |
| Record Nr. | UNINA-9910739480403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning -- IDEAL 2013 [[electronic resource] ] : 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
| Intelligent Data Engineering and Automated Learning -- IDEAL 2013 [[electronic resource] ] : 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 |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 639 p. 215 illus.) |
| Disciplina | 006.312 |
| 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 | 3-642-41278-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996465759103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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
| 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 |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 639 p. 215 illus.) |
| Disciplina | 006.312 |
| 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 | 3-642-41278-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910484512803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2016 [[electronic resource] ] : 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings / / edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2016 [[electronic resource] ] : 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings / / edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVI, 647 p. 209 illus.) |
| Disciplina | 006.312 |
| 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 | 3-319-46257-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Research outcomes in data engineering and automated learning -- Methodologies, frameworks, and techniques -- Applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis -- Applications in regression, classification, clustering, medical and biological modeling and predication -- Text processing and image analysis. |
| Record Nr. | UNISA-996466243303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2016 : 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings / / edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2016 : 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings / / edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVI, 647 p. 209 illus.) |
| Disciplina | 006.312 |
| 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 | 3-319-46257-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Research outcomes in data engineering and automated learning -- Methodologies, frameworks, and techniques -- Applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis -- Applications in regression, classification, clustering, medical and biological modeling and predication -- Text processing and image analysis. |
| Record Nr. | UNINA-9910482995803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||