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Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems [[electronic resource] ] : AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26–29, 2019, Revised Selected Papers / / edited by Mar Marcos, Jose M. Juarez, Richard Lenz, Grzegorz J. Nalepa, Slawomir Nowaczyk, Mor Peleg, Jerzy Stefanowski, Gregor Stiglic
| Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems [[electronic resource] ] : AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26–29, 2019, Revised Selected Papers / / edited by Mar Marcos, Jose M. Juarez, Richard Lenz, Grzegorz J. Nalepa, Slawomir Nowaczyk, Mor Peleg, Jerzy Stefanowski, Gregor Stiglic |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 175 p. 56 illus., 42 illus. in color.) |
| Disciplina | 610.285 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Computer organization Computers Education—Data processing Application software Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Computers and Education Computer Applications |
| ISBN | 3-030-37446-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | KR4HC/ProHealth - Joint Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care -- A practical exercise on re-engineering clinical guideline models using different representation languages -- A method for goal-oriented guideline modeling in PROforma and ist preliminary evaluation -- Differential diagnosis of bacterial and viral meningitis using Dominance-Based Rough Set Approach -- Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach -- Deep learning for haemodialysis time series classification -- TEAAM - Workshop on Transparent, Explainable and Affective AI in Medical Systems -- Towards Understanding ICU Treatments using Patient Health Trajectories -- An Explainable Approach of Inferring Potential Medication Effects from Social Media Data -- Exploring antimicrobial resistance prediction using post-hoc interpretable methods -- Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening -- A Computational Framework towards Medical Image Explanation -- A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Time Series with Application to Human Gait Data Analysis -- Self-organizing maps using acoustic features for prediction of state change in bipolar disorder -- Explainable machine learning for modeling of early postoperative mortality in lung cancer. . |
| Record Nr. | UNISA-996466422303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems : AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26–29, 2019, Revised Selected Papers / / edited by Mar Marcos, Jose M. Juarez, Richard Lenz, Grzegorz J. Nalepa, Slawomir Nowaczyk, Mor Peleg, Jerzy Stefanowski, Gregor Stiglic
| Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems : AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26–29, 2019, Revised Selected Papers / / edited by Mar Marcos, Jose M. Juarez, Richard Lenz, Grzegorz J. Nalepa, Slawomir Nowaczyk, Mor Peleg, Jerzy Stefanowski, Gregor Stiglic |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 175 p. 56 illus., 42 illus. in color.) |
| Disciplina |
610.285
006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Computer organization Computers Education—Data processing Application software Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service Computers and Education Computer Applications |
| ISBN | 3-030-37446-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | KR4HC/ProHealth - Joint Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care -- A practical exercise on re-engineering clinical guideline models using different representation languages -- A method for goal-oriented guideline modeling in PROforma and ist preliminary evaluation -- Differential diagnosis of bacterial and viral meningitis using Dominance-Based Rough Set Approach -- Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach -- Deep learning for haemodialysis time series classification -- TEAAM - Workshop on Transparent, Explainable and Affective AI in Medical Systems -- Towards Understanding ICU Treatments using Patient Health Trajectories -- An Explainable Approach of Inferring Potential Medication Effects from Social Media Data -- Exploring antimicrobial resistance prediction using post-hoc interpretable methods -- Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening -- A Computational Framework towards Medical Image Explanation -- A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Time Series with Application to Human Gait Data Analysis -- Self-organizing maps using acoustic features for prediction of state change in bipolar disorder -- Explainable machine learning for modeling of early postoperative mortality in lung cancer. . |
| Record Nr. | UNINA-9910370257703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Analysis: New Algorithms for a New Society / / edited by Nathalie Japkowicz, Jerzy Stefanowski
| Big Data Analysis: New Algorithms for a New Society / / edited by Nathalie Japkowicz, Jerzy Stefanowski |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (334 p.) |
| Disciplina | 006.312 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-26989-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Machine Learning Perspective on Big Data Analysis -- An Insight on Big Data Analytics -- Toward Problem Solving Support based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgment -- An overview of Conceptdrift Applications.- Analysis of Text-Enriched Heterogeneous Information Networks.- Implementing Big Data Analytics Projects in Business -- Data mining in Business: Current Advances and Future Challenges -- Industrial-Scale Ad Hoc Risk Analytics Using MapReduce -- Big Data and the Internet of Things -- Social Network Analysis in Streaming Call Graphs.- Scalable Cloud-Based Data Analysis Software Systems for Big Data From Next Generation Sequencing -- Discovering Networks of Interdependent Features in High-Dimensional Problems -- Final Remarks on Big Data Analysis and its Impact on Society and Science. |
| Record Nr. | UNINA-9910254205703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III / / edited by Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Žitnik, Michelangelo Ceci, Sašo Džeroski
| Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III / / edited by Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Žitnik, Michelangelo Ceci, Sašo Džeroski |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXV, 448 p. 144 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Optical data processing Application software Computer security Computers Data Mining and Knowledge Discovery Artificial Intelligence Image Processing and Computer Vision Information Systems Applications (incl. Internet) Systems and Data Security Computing Milieux |
| ISBN | 3-319-71273-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applied Data Science track -- A Novel Framework for Online Sales Burst Prediction -- Analyzing Granger causality in climate data with time series classification methods -- Automatic Detection and Recognition of Individuals in Patterned Species -- Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting -- CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining -- DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters -- Disjoint-Support Factors and Seasonality Estimation in E-Commerce -- Event Detection and Summarization using Phrase Networks: PhraseNet -- Generalising Random Forest Parameter Optimisation to Include Stability and Cost -- Have It Both Ways - from A/B Testing to A&B Testing with Exceptional Model Mining -- Koopman spectral kernels for comparing complex dynamics: Application to multiagent sport plays -- Modeling the Temporal Nature of Human Behavior for Demographics Prediction -- MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings -- Optimal client recommendation for market makers in illiquid financial products -- Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center -- Probabilistic Inference of Twitter Users' Age based on What They Follow -- Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects -- RSSI Based Supervised Learning for Uncooperative Direction-Finding -- Sequential Keystroke Behavioral Biometrics for User Identification via Multi-view Deep Learning -- Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks -- SINAS: Suspect Investigation Using Offenders' Activity Space -- Stance Classification of Tweets using Skip Char NGrams -- Structural Semantic Models for Automatic Analysis of Urban Areas -- Taking it for a Test Drive: A Hybrid Spatio-temporal Model for Wildlife Poaching Prediction Evaluated through a Controlled Field Test -- Unsupervised signature extraction from forensic logs -- Urban Water Flow and Water Level Prediction based on Deep Learning -- Using Machine Learning for Labour Market Intelligence -- Nectar track -- Activity-Driven Influence Maximization in Social Networks -- An AI Planning System for Data Cleaning -- Comparing hypotheses on sequential behavior: A Bayesian approach and its applications -- Data-driven Approaches for Smart Parking -- Image representation, annotation and retrieval with predictive clustering trees -- Music Generation Using Bayesian Networks -- Phenotype Inference from Text and Genomic Data -- Process-based Modeling and Design of Dynamical Systems -- QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees -- Recent Advances in Kernel-Based Graph Classification -- Demo track -- ASK-the-Expert: Active learning based knowledge discovery using the expert -- Delve: A Data set Retrieval and Document Analysis System -- Framework for Exploring and Understanding Multivariate Correlations -- Lit@EVE: Explainable Recommendation based on Wikipedia Concept Vectors -- Monitoring Physical Activity and Mental Stress using Wrist-worn Device and a Smartphone -- Tetrahedron: Barycentric Measure Visualizer -- TF Boosted Trees: A scalable TensorFlow based framework for gradient boosting -- TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory -- TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks -- WHODID: Web-based interface for Human-assisted factory Operations in fault Detection, Identification and Diagnosis. |
| Record Nr. | UNISA-996465759903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III / / edited by Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Žitnik, Michelangelo Ceci, Sašo Džeroski
| Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III / / edited by Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Žitnik, Michelangelo Ceci, Sašo Džeroski |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXXV, 448 p. 144 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Optical data processing Application software Computer security Computers Data Mining and Knowledge Discovery Artificial Intelligence Image Processing and Computer Vision Information Systems Applications (incl. Internet) Systems and Data Security Computing Milieux |
| ISBN | 3-319-71273-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applied Data Science track -- A Novel Framework for Online Sales Burst Prediction -- Analyzing Granger causality in climate data with time series classification methods -- Automatic Detection and Recognition of Individuals in Patterned Species -- Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting -- CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining -- DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters -- Disjoint-Support Factors and Seasonality Estimation in E-Commerce -- Event Detection and Summarization using Phrase Networks: PhraseNet -- Generalising Random Forest Parameter Optimisation to Include Stability and Cost -- Have It Both Ways - from A/B Testing to A&B Testing with Exceptional Model Mining -- Koopman spectral kernels for comparing complex dynamics: Application to multiagent sport plays -- Modeling the Temporal Nature of Human Behavior for Demographics Prediction -- MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings -- Optimal client recommendation for market makers in illiquid financial products -- Predicting Self-reported Customer Satisfaction of Interactions with a Corporate Call Center -- Probabilistic Inference of Twitter Users' Age based on What They Follow -- Quantifying Heterogeneous Causal Treatment Effects in World Bank Development Finance Projects -- RSSI Based Supervised Learning for Uncooperative Direction-Finding -- Sequential Keystroke Behavioral Biometrics for User Identification via Multi-view Deep Learning -- Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks -- SINAS: Suspect Investigation Using Offenders' Activity Space -- Stance Classification of Tweets using Skip Char NGrams -- Structural Semantic Models for Automatic Analysis of Urban Areas -- Taking it for a Test Drive: A Hybrid Spatio-temporal Model for Wildlife Poaching Prediction Evaluated through a Controlled Field Test -- Unsupervised signature extraction from forensic logs -- Urban Water Flow and Water Level Prediction based on Deep Learning -- Using Machine Learning for Labour Market Intelligence -- Nectar track -- Activity-Driven Influence Maximization in Social Networks -- An AI Planning System for Data Cleaning -- Comparing hypotheses on sequential behavior: A Bayesian approach and its applications -- Data-driven Approaches for Smart Parking -- Image representation, annotation and retrieval with predictive clustering trees -- Music Generation Using Bayesian Networks -- Phenotype Inference from Text and Genomic Data -- Process-based Modeling and Design of Dynamical Systems -- QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees -- Recent Advances in Kernel-Based Graph Classification -- Demo track -- ASK-the-Expert: Active learning based knowledge discovery using the expert -- Delve: A Data set Retrieval and Document Analysis System -- Framework for Exploring and Understanding Multivariate Correlations -- Lit@EVE: Explainable Recommendation based on Wikipedia Concept Vectors -- Monitoring Physical Activity and Mental Stress using Wrist-worn Device and a Smartphone -- Tetrahedron: Barycentric Measure Visualizer -- TF Boosted Trees: A scalable TensorFlow based framework for gradient boosting -- TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory -- TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks -- WHODID: Web-based interface for Human-assisted factory Operations in fault Detection, Identification and Diagnosis. |
| Record Nr. | UNINA-9910484668103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing [[electronic resource] ] : 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007 / / edited by Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory Butz, Witold Pedrycz
| Rough Sets, Fuzzy Sets, Data Mining and Granular Computing [[electronic resource] ] : 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007 / / edited by Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory Butz, Witold Pedrycz |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
| Descrizione fisica | 1 online resource (XIV, 588 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computers
Artificial intelligence Data mining Database management Mathematical logic Theory of Computation Artificial Intelligence Data Mining and Knowledge Discovery Database Management Mathematical Logic and Formal Languages Computation by Abstract Devices |
| ISBN | 3-540-72530-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Toward Rough-Granular Computing -- Data Clustering Algorithms for Information Systems -- From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery -- A New Algorithm for Attribute Reduction in Decision Tables -- Fuzzy-Rough Hybridization -- Algebraic Properties of Adjunction-Based Fuzzy Rough Sets -- Fuzzy Approximation Operators Based on Coverings -- Information-Theoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets -- Determining Significance of Attributes in the Unified Rough Set Approach -- A Rough-Hybrid Approach to Software Defect Classification -- Vaguely Quantified Rough Sets -- Fuzzy Sets -- A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch -- A Fuzzy Group Decision Approach to Real Option Valuation -- Fuzzifying Closure Systems and Fuzzy Lattices -- Evolution of Fuzzy System Models: An Overview and New Directions -- Retracted Article: A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure -- A New Classifier Design with Fuzzy Functions -- Soft Computing in Medical Image Processing -- Image Analysis of Ductal Proliferative Lesions of Breast Using Architectural Features -- Nucleus Segmentation and Recognition of Uterine Cervical Pap-Smears -- A Study: Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy C-Means Clustering with Gaussian Smoothing -- Ischemic Stroke Modeling: Multiscale Extraction of Hypodense Signs -- Soft Computing in Information Retrieval -- Supporting Literature Exploration with Granular Knowledge Structures -- Ordinal Credibility Coefficient – A New Approach in the Data Credibility Analysis -- FuzzyPR: An Effective Passage Retrieval System for QAS -- Clustering -- Parallel Artificial Immune Clustering Algorithm Based on Granular Computing -- C-DBSCAN: Density-Based Clustering with Constraints -- A New Cluster Based Fuzzy Model Tree for Data Modeling -- Parameter Tuning for Disjoint Clusters Based on Concept Lattices with Application to Location Learning -- Text and Web Mining -- Web Document Classification Based on Rough Set -- Transformation of Suffix Arrays into Suffix Trees on the MPI Environment -- Clustering High Dimensional Data Using SVM -- Learning, Data Mining and Rough Classifiers -- Constructing Associative Classifier Using Rough Sets and Evidence Theory -- Evaluation Method for Decision Rule Sets -- On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2 -- Neonatal Infection Diagnosis Using Constructive Induction in Data Mining -- Two Families of Classification Algorithms -- Constructing Associative Classifiers from Decision Tables -- Evaluating Importance of Conditions in the Set of Discovered Rules -- Constraint Based Action Rule Discovery with Single Classification Rules -- Data Confidentiality Versus Chase -- Relationship Between Loss Functions and Confirmation Measures -- High Frequent Value Reduct in Very Large Databases -- A Weighted Rough Set Approach for Cost-Sensitive Learning -- Jumping Emerging Pattern Induction by Means of Graph Coloring and Local Reducts in Transaction Databases -- Visualization of Rough Set Decision Rules for Medical Diagnosis Systems -- Attribute Generalization and Fuzziness in Data Mining Contexts -- A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM -- Granular Computing -- Attribute Granules in Formal Contexts -- An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model -- A Ranking Approach with Inclusion Measure in Multiple-Attribute Interval-Valued Decision Making -- Granulations Based on Semantics of Rough Logical Formulas and Its Reasoning -- A Categorial Basis for Granular Computing -- Granular Sets – Foundations and Case Study of Tolerance Spaces -- Soft Computing in Multimedia Processing -- Unusual Activity Analysis in Video Sequences -- Task-Based Image Annotation and Retrieval -- Improvement of Moving Image Quality on AC-PDP by Rough Set Based Dynamic False Contour Reduction -- Image Digital Watermarking Technique Based on Kernel Independent Component Analysis -- Image Pattern Recognition Using Near Sets -- Robotic Target Tracking with Approximation Space-Based Feedback During Reinforcement Learning -- Soft Computing Applications -- Web Based Health Recommender System Using Rough Sets, Survival Analysis and Rule-Based Expert Systems -- RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling -- Selecting Samples and Features for SVM Based on Neighborhood Model -- Intelligent Decision Support Based on Influence Diagrams with Rough Sets -- Object Class Recognition Using SNoW with a Part Vocabulary -- Coverage in Biomimetic Pattern Recognition -- A Texture-Based Algorithm for Vehicle Area Segmentation Using the Support Vector Machine Method -- Rough and Complex Concepts -- The Study of Some Important Theoretical Problems for Rough Relational Database -- Interval Rough Mereology for Approximating Hierarchical Knowledge -- Description Logic Framework for Access Control and Security in Object-Oriented Systems -- Rough Neural Networks for Complex Concepts. |
| Record Nr. | UNISA-996466243003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing : 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007 / / edited by Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory Butz, Witold Pedrycz
| Rough Sets, Fuzzy Sets, Data Mining and Granular Computing : 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007 / / edited by Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory Butz, Witold Pedrycz |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
| Descrizione fisica | 1 online resource (XIV, 588 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computers
Artificial intelligence Data mining Database management Logic, Symbolic and mathematical Theory of Computation Artificial Intelligence Data Mining and Knowledge Discovery Database Management Mathematical Logic and Formal Languages Computation by Abstract Devices |
| ISBN | 3-540-72530-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Toward Rough-Granular Computing -- Data Clustering Algorithms for Information Systems -- From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery -- A New Algorithm for Attribute Reduction in Decision Tables -- Fuzzy-Rough Hybridization -- Algebraic Properties of Adjunction-Based Fuzzy Rough Sets -- Fuzzy Approximation Operators Based on Coverings -- Information-Theoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets -- Determining Significance of Attributes in the Unified Rough Set Approach -- A Rough-Hybrid Approach to Software Defect Classification -- Vaguely Quantified Rough Sets -- Fuzzy Sets -- A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch -- A Fuzzy Group Decision Approach to Real Option Valuation -- Fuzzifying Closure Systems and Fuzzy Lattices -- Evolution of Fuzzy System Models: An Overview and New Directions -- Retracted Article: A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure -- A New Classifier Design with Fuzzy Functions -- Soft Computing in Medical Image Processing -- Image Analysis of Ductal Proliferative Lesions of Breast Using Architectural Features -- Nucleus Segmentation and Recognition of Uterine Cervical Pap-Smears -- A Study: Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy C-Means Clustering with Gaussian Smoothing -- Ischemic Stroke Modeling: Multiscale Extraction of Hypodense Signs -- Soft Computing in Information Retrieval -- Supporting Literature Exploration with Granular Knowledge Structures -- Ordinal Credibility Coefficient – A New Approach in the Data Credibility Analysis -- FuzzyPR: An Effective Passage Retrieval System for QAS -- Clustering -- Parallel Artificial Immune Clustering Algorithm Based on Granular Computing -- C-DBSCAN: Density-Based Clustering with Constraints -- A New Cluster Based Fuzzy Model Tree for Data Modeling -- Parameter Tuning for Disjoint Clusters Based on Concept Lattices with Application to Location Learning -- Text and Web Mining -- Web Document Classification Based on Rough Set -- Transformation of Suffix Arrays into Suffix Trees on the MPI Environment -- Clustering High Dimensional Data Using SVM -- Learning, Data Mining and Rough Classifiers -- Constructing Associative Classifier Using Rough Sets and Evidence Theory -- Evaluation Method for Decision Rule Sets -- On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2 -- Neonatal Infection Diagnosis Using Constructive Induction in Data Mining -- Two Families of Classification Algorithms -- Constructing Associative Classifiers from Decision Tables -- Evaluating Importance of Conditions in the Set of Discovered Rules -- Constraint Based Action Rule Discovery with Single Classification Rules -- Data Confidentiality Versus Chase -- Relationship Between Loss Functions and Confirmation Measures -- High Frequent Value Reduct in Very Large Databases -- A Weighted Rough Set Approach for Cost-Sensitive Learning -- Jumping Emerging Pattern Induction by Means of Graph Coloring and Local Reducts in Transaction Databases -- Visualization of Rough Set Decision Rules for Medical Diagnosis Systems -- Attribute Generalization and Fuzziness in Data Mining Contexts -- A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM -- Granular Computing -- Attribute Granules in Formal Contexts -- An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model -- A Ranking Approach with Inclusion Measure in Multiple-Attribute Interval-Valued Decision Making -- Granulations Based on Semantics of Rough Logical Formulas and Its Reasoning -- A Categorial Basis for Granular Computing -- Granular Sets – Foundations and Case Study of Tolerance Spaces -- Soft Computing in Multimedia Processing -- Unusual Activity Analysis in Video Sequences -- Task-Based Image Annotation and Retrieval -- Improvement of Moving Image Quality on AC-PDP by Rough Set Based Dynamic False Contour Reduction -- Image Digital Watermarking Technique Based on Kernel Independent Component Analysis -- Image Pattern Recognition Using Near Sets -- Robotic Target Tracking with Approximation Space-Based Feedback During Reinforcement Learning -- Soft Computing Applications -- Web Based Health Recommender System Using Rough Sets, Survival Analysis and Rule-Based Expert Systems -- RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling -- Selecting Samples and Features for SVM Based on Neighborhood Model -- Intelligent Decision Support Based on Influence Diagrams with Rough Sets -- Object Class Recognition Using SNoW with a Part Vocabulary -- Coverage in Biomimetic Pattern Recognition -- A Texture-Based Algorithm for Vehicle Area Segmentation Using the Support Vector Machine Method -- Rough and Complex Concepts -- The Study of Some Important Theoretical Problems for Rough Relational Database -- Interval Rough Mereology for Approximating Hierarchical Knowledge -- Description Logic Framework for Access Control and Security in Object-Oriented Systems -- Rough Neural Networks for Complex Concepts. |
| Record Nr. | UNINA-9910484983603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||