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Critical concepts in medical practice management : working in a managed care environment / / editor Robert Tallon
| Critical concepts in medical practice management : working in a managed care environment / / editor Robert Tallon |
| Pubbl/distr/stampa | Amsterdam, : IOS Press, [2019] |
| Descrizione fisica | 1 online resource (1,186 pages) |
| Altri autori (Persone) | TallonRobert |
| Soggetto topico | Electronic books |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910230844303321 |
| Amsterdam, : IOS Press, [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Critical concepts in medical practice management : working in a managed care environment / / editor Robert Tallon
| Critical concepts in medical practice management : working in a managed care environment / / editor Robert Tallon |
| Pubbl/distr/stampa | Amsterdam, : IOS Press, [2019] |
| Descrizione fisica | 1 online resource (1,186 pages) |
| Altri autori (Persone) | TallonRobert |
| Soggetto topico | Electronic books |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910774856303321 |
| Amsterdam, : IOS Press, [2019] | ||
| 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. | UNINA-9910482995803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| 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 2017 [[electronic resource] ] : 18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings / / edited by Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Minling Zhang
| Intelligent Data Engineering and Automated Learning – IDEAL 2017 [[electronic resource] ] : 18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings / / edited by Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Minling Zhang |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 609 p. 198 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 | 3-319-68935-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Learning Convolutional Ranking-Score Function by Query Preference Regularization -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 3.1 Data Sets and Experimental Setting -- 3.2 Results -- 4 Conclusion -- References -- Dynamic Community Detection Algorithm Based on Automatic Parameter Adjustment -- 1 Introduction -- 2 Related Works -- 3 The Detailed Description of the Algorithm -- 3.1 The Influence of Parameter -- 3.2 The Two Constraints -- 3.3 The Elimination of Fragments -- 3.4 The Algorithm -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Accuracy Performance -- 4.3 Modularity Performance -- 4.4 Scalability Study -- 5 Conclusion -- References -- An Ant Colony Random Walk Algorithm for Overlapping Community Detection -- Abstract -- 1 Introduction -- 2 The Improved Ant Colony Initialization Process and Definition -- 2.1 Definitions -- 2.2 The Description of the Improved Ant Colony Initialization Process -- 3 ACRWA: An Ant Colony Random Walk Algorithm for Overlapping Community Detection -- 3.1 Concept and Calculation of Random Walk -- 3.2 Description of ACRWA -- 4 Experiments Result -- 4.1 Data Source -- 4.2 Experimental Results -- 5 Summary and Conclusion -- References -- UK - Means Clustering for Uncertain Time Series Based on ULDTW Distance -- 1 Introduction -- 2 Related Work -- 3 Improved UK-Means Clustering of Uncertain Time Series -- 3.1 The Disadvantage of UK-Means for Uncertain Time Series -- 3.2 ULDTW Distance for Uncertain Time Series -- 3.3 Optimization the Calculation of Cluster Center -- 4 Experimental -- 4.1 The Construction of Uncertain Time Series -- 4.2 Experimental Results and Analysis -- 5 Conclusion and Future Work -- References -- Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System -- 1 Introduction -- 2 The Proposed Framework.
3 Experiments -- 3.1 Data Collection -- 3.2 Protocol -- 3.3 Results -- 4 Conclusion and Future Work -- References -- A Community Detection Algorithm Based on Jaccard Similarity Label Propagation -- Abstract -- 1 Introduction -- 2 Label Propagation Algorithm for Community Detection Based on Jaccard Similarity -- 2.1 Label Propagation Algorithm -- 2.2 Label Propagation Algorithm Based on Jaccard Similarity -- 3 Experimental Results and Analysis -- 3.1 Modularity -- 3.2 Normalized Mutual Information -- 3.3 Computational Complexity -- 4 Conclusion -- Acknowledgment -- References -- A Robust Object Tracking Method Based on CamShift for UAV Videos -- 1 Introduction -- 2 Object Tracking by CamShift -- 2.1 Principle of MeanShift -- 2.2 Principle of CamShift -- 3 The MK-KF-CamShift Algorithm -- 3.1 Improvement by KF -- 3.2 Improvement by MF -- 3.3 Algorithm Implementation -- 4 Experiments and Results Analysis -- 4.1 Algorithm Performance and Analysis -- 4.2 Experimental Comparison and Analysis -- 5 Conclusion and Future Work -- References -- Multi-output LSSVM-Based Forecasting Model for Mid-Term Interval Load Optimized by SOA and Fresh Degree Function -- 1 Introduction -- 2 Data Description and Analysis -- 2.1 Day-Type -- 2.2 Body Amenity Indicator -- 3 The SOA-FD-MLSSVM Framework -- 3.1 MLSSVM for Interval Load Forecasting -- 3.2 Hyper-parameters Optimized Algorithm: Improved Seeker Optimization Algorithm -- 3.3 The Fresh Degree Function -- 4 Numerical Experiments -- 4.1 The Benefit of Body Amenity Indicator -- 4.2 The Prediction Model with Different Optimized Methods -- 4.3 Comparison with Other Forecasting Models -- 5 Conclusion -- References -- A Potential-Based Density Estimation Method for Clustering Using Decision Graph -- Abstract -- 1 Introduction -- 2 Decision Graph. 3 An Novel Potential-Based Density Estimation Method for Clustering Using Decision Graph -- 3.1 The Double-KNN (DKNN) Algorithm -- 3.2 Potential-Based Density Estimation Method -- 3.3 Cluster Centroids Identification -- 4 Experimental Results -- 4.1 Evaluation Criterion -- 4.2 Parameter Selection -- 4.3 Comparison of the Clustering Results -- 5 Conclusion -- Acknowledgments -- References -- Optimization of Grover's Algorithm Simulation Based on Cloud Computing -- 1 Introduction -- 2 Background -- 2.1 Grover's Algorithm -- 2.2 Advantages of Cloud Computing -- 3 Optimization -- 3.1 High Compression of Memory -- 3.2 Speedup of Unitary Operation -- 3.3 Parallel Simulation of Unitary Operation -- 4 Configuration of Simulation on Cloud Computing Platform -- 5 Experiments and Performance Analysis -- 6 Conclusion -- References -- Cross-Media Retrieval of Tourism Big Data Based on Deep Features and Topic Semantics -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Cross-Media Retrieval Method of Tourism Big Data -- 3.1 Deep Representation of Tourism Texts and Images -- 3.2 Semantic Learning and Modeling Based on Deep Features and Topic Semantics -- 4 Experimental Results and Analysis -- 5 Conclusions -- Acknowledgment -- References -- Information Retrieval with Implicitly Temporal Queries -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Metholodogy -- 3.1 Analyzing Temporal Intention of the Query -- 3.2 Ranking Methods with Temporal Intentions -- 3.2.1 The Language Model -- 3.2.2 The Metric Space Model -- 4 Experiments -- 5 Conclusions and Future Work -- Acknowledgement -- References -- On the Relations of Theoretical Foundations of Different Causal Inference Algorithms -- 1 Introduction -- 2 Preliminary -- 3 Algorithmic Independence and Kolmogorov Complexity -- 4 Statistical Independence and Distance Correlation. 5 Likelihood Estimation and Bayesian Inference -- 6 A Short Summary -- 7 Conclusions -- References -- SibStCNN and TBCNN + kNN-TED: New Models over Tree Structures for Source Code Classification -- 1 Introduction -- 2 Preliminaries -- 2.1 Abstract Syntax Trees -- 2.2 Tree-Based Convolutional Neural Network -- 3 The Proposed Approaches -- 3.1 Sibling-Subtree Convolutional Neural Network (SibStCNN) -- 3.2 Combination Models of kNN-TED and SibStCNN/TBCNN -- 4 Data Preprocessing and Experimental Setup -- 4.1 Preprocessing AST Data -- 4.2 The Dataset -- 4.3 Experimental Setup -- 5 Results and Discussion -- 6 Conclusion -- References -- A Community Detection Algorithm Based on Local Double Rings and Fireworks Algorithm -- Abstract -- 1 Introduction -- 2 The Framework of Fireworks Algorithm -- 2.1 Explosion Operator -- 3 LDRFA: A Community Detection Algorithm Based on Local Double Rings and Fireworks Algorithm -- 3.1 Concept of Node Importance -- 3.2 An Improved Fireworks Initialization Method -- 3.3 Detailed Description of LDRFA -- 4 Experiments Result and Analysis -- 4.1 Experimental Result of the Real World -- 4.2 Experimental Result of the Synthetic Benchmark Networks -- 5 Summary -- References -- Cost Sensitive Matrix Factorization for Face Recognition -- 1 Introduction -- 2 Problem Formulation -- 3 Cost Sensitive Matrix Factorization -- 3.1 The Overall Objective Function -- 3.2 Optimization -- 3.3 Classification Scenario -- 4 Experimental Results -- 4.1 Face Datasets and Experimental Settings -- 4.2 Comparing with State-of-the-art Cost Sensitive Approaches -- 4.3 The Influential Factors of CSMF -- 5 Conclusion and Future Works -- References -- Research of Dengue Fever Prediction in San Juan, Puerto Rico Based on a KNN Regression Model -- Abstract -- 1 Introduction -- 2 Data -- 2.1 Research Area -- 2.2 Data -- 3 Method -- 3.1 Normalization. 3.2 Poisson Regression -- 3.3 KNN Regression Model -- 4 Research and Discussion -- 4.1 Correlation Analysis Results -- 4.2 Poisson Regression -- 4.3 KNN Regression Prediction Results -- 5 Conclusion -- Acknowledgement -- References -- Identification of Nonlinear System Based on Complex-Valued Flexible Neural Network -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Structure of CVFNT -- 2.2 Structure Optimization of CVFNT -- 2.3 Parameters Optimization of CVFNT -- 2.4 Fitness Function -- 2.5 Flowchart of Our Method -- 3 Experiments -- 3.1 The First Nonlinear System -- 3.2 The Second Nonlinear System -- 4 Summary -- Acknowledgement -- References -- Research on the Method of Splitting Large Class Diagram Based on Multilevel Partitioning -- 1 Introduction -- 2 Construction of Large Class Diagram and the Calculation of Coupling Degree -- 2.1 The Class Diagram Generated by Reverse Engineering -- 2.2 Calculating the Coupling Degree -- 3 Class Diagram Splitting Algorithm -- 3.1 Coarsening Stage -- 3.2 Initial Partition Stage -- 3.3 Refining Stage -- 4 Experiment -- 4.1 Experimental Environment and Experimental Process -- 4.2 Experimental Result -- 5 Conclusions -- References -- Ford Motorcar Identification from Single-Camera Side-View Image Based on Convolutional Neural Network -- Abstract -- 1 Background -- 2 Materials -- 3 Convolutional Neural Network -- 4 Experiments and Results -- 4.1 Data Augmentation -- 4.2 CNN Convergence Analysis -- 4.3 Confusion Matrix -- 4.4 Comparison to State-of-the-Art Approaches -- 5 Conclusion -- Acknowledgements -- References -- Predicting Personality Traits of Users in Social Networks -- 1 Introduction -- 2 Problem Definition -- 3 Data and Observations -- 3.1 Data Collection -- 3.2 Observations -- 4 Proposed Model -- 4.1 Personality-Dependent Variable Factor Graph -- 4.2 Feature Definition -- 4.3 Model Learning. 5 Experiments. |
| Record Nr. | UNINA-9910484146103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2017 [[electronic resource] ] : 18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings / / edited by Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Minling Zhang
| Intelligent Data Engineering and Automated Learning – IDEAL 2017 [[electronic resource] ] : 18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings / / edited by Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Minling Zhang |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 609 p. 198 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 | 3-319-68935-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Learning Convolutional Ranking-Score Function by Query Preference Regularization -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 3.1 Data Sets and Experimental Setting -- 3.2 Results -- 4 Conclusion -- References -- Dynamic Community Detection Algorithm Based on Automatic Parameter Adjustment -- 1 Introduction -- 2 Related Works -- 3 The Detailed Description of the Algorithm -- 3.1 The Influence of Parameter -- 3.2 The Two Constraints -- 3.3 The Elimination of Fragments -- 3.4 The Algorithm -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Accuracy Performance -- 4.3 Modularity Performance -- 4.4 Scalability Study -- 5 Conclusion -- References -- An Ant Colony Random Walk Algorithm for Overlapping Community Detection -- Abstract -- 1 Introduction -- 2 The Improved Ant Colony Initialization Process and Definition -- 2.1 Definitions -- 2.2 The Description of the Improved Ant Colony Initialization Process -- 3 ACRWA: An Ant Colony Random Walk Algorithm for Overlapping Community Detection -- 3.1 Concept and Calculation of Random Walk -- 3.2 Description of ACRWA -- 4 Experiments Result -- 4.1 Data Source -- 4.2 Experimental Results -- 5 Summary and Conclusion -- References -- UK - Means Clustering for Uncertain Time Series Based on ULDTW Distance -- 1 Introduction -- 2 Related Work -- 3 Improved UK-Means Clustering of Uncertain Time Series -- 3.1 The Disadvantage of UK-Means for Uncertain Time Series -- 3.2 ULDTW Distance for Uncertain Time Series -- 3.3 Optimization the Calculation of Cluster Center -- 4 Experimental -- 4.1 The Construction of Uncertain Time Series -- 4.2 Experimental Results and Analysis -- 5 Conclusion and Future Work -- References -- Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System -- 1 Introduction -- 2 The Proposed Framework.
3 Experiments -- 3.1 Data Collection -- 3.2 Protocol -- 3.3 Results -- 4 Conclusion and Future Work -- References -- A Community Detection Algorithm Based on Jaccard Similarity Label Propagation -- Abstract -- 1 Introduction -- 2 Label Propagation Algorithm for Community Detection Based on Jaccard Similarity -- 2.1 Label Propagation Algorithm -- 2.2 Label Propagation Algorithm Based on Jaccard Similarity -- 3 Experimental Results and Analysis -- 3.1 Modularity -- 3.2 Normalized Mutual Information -- 3.3 Computational Complexity -- 4 Conclusion -- Acknowledgment -- References -- A Robust Object Tracking Method Based on CamShift for UAV Videos -- 1 Introduction -- 2 Object Tracking by CamShift -- 2.1 Principle of MeanShift -- 2.2 Principle of CamShift -- 3 The MK-KF-CamShift Algorithm -- 3.1 Improvement by KF -- 3.2 Improvement by MF -- 3.3 Algorithm Implementation -- 4 Experiments and Results Analysis -- 4.1 Algorithm Performance and Analysis -- 4.2 Experimental Comparison and Analysis -- 5 Conclusion and Future Work -- References -- Multi-output LSSVM-Based Forecasting Model for Mid-Term Interval Load Optimized by SOA and Fresh Degree Function -- 1 Introduction -- 2 Data Description and Analysis -- 2.1 Day-Type -- 2.2 Body Amenity Indicator -- 3 The SOA-FD-MLSSVM Framework -- 3.1 MLSSVM for Interval Load Forecasting -- 3.2 Hyper-parameters Optimized Algorithm: Improved Seeker Optimization Algorithm -- 3.3 The Fresh Degree Function -- 4 Numerical Experiments -- 4.1 The Benefit of Body Amenity Indicator -- 4.2 The Prediction Model with Different Optimized Methods -- 4.3 Comparison with Other Forecasting Models -- 5 Conclusion -- References -- A Potential-Based Density Estimation Method for Clustering Using Decision Graph -- Abstract -- 1 Introduction -- 2 Decision Graph. 3 An Novel Potential-Based Density Estimation Method for Clustering Using Decision Graph -- 3.1 The Double-KNN (DKNN) Algorithm -- 3.2 Potential-Based Density Estimation Method -- 3.3 Cluster Centroids Identification -- 4 Experimental Results -- 4.1 Evaluation Criterion -- 4.2 Parameter Selection -- 4.3 Comparison of the Clustering Results -- 5 Conclusion -- Acknowledgments -- References -- Optimization of Grover's Algorithm Simulation Based on Cloud Computing -- 1 Introduction -- 2 Background -- 2.1 Grover's Algorithm -- 2.2 Advantages of Cloud Computing -- 3 Optimization -- 3.1 High Compression of Memory -- 3.2 Speedup of Unitary Operation -- 3.3 Parallel Simulation of Unitary Operation -- 4 Configuration of Simulation on Cloud Computing Platform -- 5 Experiments and Performance Analysis -- 6 Conclusion -- References -- Cross-Media Retrieval of Tourism Big Data Based on Deep Features and Topic Semantics -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Cross-Media Retrieval Method of Tourism Big Data -- 3.1 Deep Representation of Tourism Texts and Images -- 3.2 Semantic Learning and Modeling Based on Deep Features and Topic Semantics -- 4 Experimental Results and Analysis -- 5 Conclusions -- Acknowledgment -- References -- Information Retrieval with Implicitly Temporal Queries -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Metholodogy -- 3.1 Analyzing Temporal Intention of the Query -- 3.2 Ranking Methods with Temporal Intentions -- 3.2.1 The Language Model -- 3.2.2 The Metric Space Model -- 4 Experiments -- 5 Conclusions and Future Work -- Acknowledgement -- References -- On the Relations of Theoretical Foundations of Different Causal Inference Algorithms -- 1 Introduction -- 2 Preliminary -- 3 Algorithmic Independence and Kolmogorov Complexity -- 4 Statistical Independence and Distance Correlation. 5 Likelihood Estimation and Bayesian Inference -- 6 A Short Summary -- 7 Conclusions -- References -- SibStCNN and TBCNN + kNN-TED: New Models over Tree Structures for Source Code Classification -- 1 Introduction -- 2 Preliminaries -- 2.1 Abstract Syntax Trees -- 2.2 Tree-Based Convolutional Neural Network -- 3 The Proposed Approaches -- 3.1 Sibling-Subtree Convolutional Neural Network (SibStCNN) -- 3.2 Combination Models of kNN-TED and SibStCNN/TBCNN -- 4 Data Preprocessing and Experimental Setup -- 4.1 Preprocessing AST Data -- 4.2 The Dataset -- 4.3 Experimental Setup -- 5 Results and Discussion -- 6 Conclusion -- References -- A Community Detection Algorithm Based on Local Double Rings and Fireworks Algorithm -- Abstract -- 1 Introduction -- 2 The Framework of Fireworks Algorithm -- 2.1 Explosion Operator -- 3 LDRFA: A Community Detection Algorithm Based on Local Double Rings and Fireworks Algorithm -- 3.1 Concept of Node Importance -- 3.2 An Improved Fireworks Initialization Method -- 3.3 Detailed Description of LDRFA -- 4 Experiments Result and Analysis -- 4.1 Experimental Result of the Real World -- 4.2 Experimental Result of the Synthetic Benchmark Networks -- 5 Summary -- References -- Cost Sensitive Matrix Factorization for Face Recognition -- 1 Introduction -- 2 Problem Formulation -- 3 Cost Sensitive Matrix Factorization -- 3.1 The Overall Objective Function -- 3.2 Optimization -- 3.3 Classification Scenario -- 4 Experimental Results -- 4.1 Face Datasets and Experimental Settings -- 4.2 Comparing with State-of-the-art Cost Sensitive Approaches -- 4.3 The Influential Factors of CSMF -- 5 Conclusion and Future Works -- References -- Research of Dengue Fever Prediction in San Juan, Puerto Rico Based on a KNN Regression Model -- Abstract -- 1 Introduction -- 2 Data -- 2.1 Research Area -- 2.2 Data -- 3 Method -- 3.1 Normalization. 3.2 Poisson Regression -- 3.3 KNN Regression Model -- 4 Research and Discussion -- 4.1 Correlation Analysis Results -- 4.2 Poisson Regression -- 4.3 KNN Regression Prediction Results -- 5 Conclusion -- Acknowledgement -- References -- Identification of Nonlinear System Based on Complex-Valued Flexible Neural Network -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Structure of CVFNT -- 2.2 Structure Optimization of CVFNT -- 2.3 Parameters Optimization of CVFNT -- 2.4 Fitness Function -- 2.5 Flowchart of Our Method -- 3 Experiments -- 3.1 The First Nonlinear System -- 3.2 The Second Nonlinear System -- 4 Summary -- Acknowledgement -- References -- Research on the Method of Splitting Large Class Diagram Based on Multilevel Partitioning -- 1 Introduction -- 2 Construction of Large Class Diagram and the Calculation of Coupling Degree -- 2.1 The Class Diagram Generated by Reverse Engineering -- 2.2 Calculating the Coupling Degree -- 3 Class Diagram Splitting Algorithm -- 3.1 Coarsening Stage -- 3.2 Initial Partition Stage -- 3.3 Refining Stage -- 4 Experiment -- 4.1 Experimental Environment and Experimental Process -- 4.2 Experimental Result -- 5 Conclusions -- References -- Ford Motorcar Identification from Single-Camera Side-View Image Based on Convolutional Neural Network -- Abstract -- 1 Background -- 2 Materials -- 3 Convolutional Neural Network -- 4 Experiments and Results -- 4.1 Data Augmentation -- 4.2 CNN Convergence Analysis -- 4.3 Confusion Matrix -- 4.4 Comparison to State-of-the-Art Approaches -- 5 Conclusion -- Acknowledgements -- References -- Predicting Personality Traits of Users in Social Networks -- 1 Introduction -- 2 Problem Definition -- 3 Data and Observations -- 3.1 Data Collection -- 3.2 Observations -- 4 Proposed Model -- 4.1 Personality-Dependent Variable Factor Graph -- 4.2 Feature Definition -- 4.3 Model Learning. 5 Experiments. |
| Record Nr. | UNISA-996465321903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXVI, 349 p. 96 illus., 62 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Natural language processing (Computer science) Application software Computer organization Data Mining and Knowledge Discovery Artificial Intelligence Natural Language Processing (NLP) Computer Applications Computer Systems Organization and Communication Networks |
| ISBN | 3-030-03496-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910349393603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXVI, 865 p. 285 illus., 197 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Optical data processing Computers Data Mining and Knowledge Discovery Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Theory of Computation |
| ISBN | 3-030-03493-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent data analysis -- data mining and their associated learning systems and paradigms -- big data challenges -- machine learning, data mining, information retrieval and management -- bio- and neuro-informatics -- bio-inspired models including neural networks, evolutionary computation and swarm intelligence -- agents and hybrid intelligent systems, and real-world applications of intelligent techniques -- evolutionary algorithms -- deep learning neural networks -- probabilistic modeling -- particle swarm intelligence -- big data analytics and applications in image recognition -- regression, classification, clustering, medical and biological modelling and prediction -- text processing and social media analysis. |
| Record Nr. | UNINA-9910349393703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXVI, 865 p. 285 illus., 197 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Optical data processing Computers Data Mining and Knowledge Discovery Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Theory of Computation |
| ISBN | 3-030-03493-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent data analysis -- data mining and their associated learning systems and paradigms -- big data challenges -- machine learning, data mining, information retrieval and management -- bio- and neuro-informatics -- bio-inspired models including neural networks, evolutionary computation and swarm intelligence -- agents and hybrid intelligent systems, and real-world applications of intelligent techniques -- evolutionary algorithms -- deep learning neural networks -- probabilistic modeling -- particle swarm intelligence -- big data analytics and applications in image recognition -- regression, classification, clustering, medical and biological modelling and prediction -- text processing and social media analysis. |
| Record Nr. | UNISA-996466314103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros
| Intelligent Data Engineering and Automated Learning – IDEAL 2018 [[electronic resource] ] : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part II / / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXVI, 349 p. 96 illus., 62 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Natural language processing (Computer science) Application software Computer organization Data Mining and Knowledge Discovery Artificial Intelligence Natural Language Processing (NLP) Computer Applications Computer Systems Organization and Communication Networks |
| ISBN | 3-030-03496-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466315803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
