Applied Mathematical Analysis: Theory, Methods, and Applications / / edited by Hemen Dutta, James F. Peters |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (809 pages) |
Disciplina | 515 |
Collana | Studies in Systems, Decision and Control |
Soggetto topico |
Computational intelligence
Computer science - Mathematics Computational Intelligence Mathematical Applications in Computer Science |
ISBN | 3-319-99918-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | On Equivalent Properties of Hardy-Type Integral Inequality with the General Nonhomogeneous Kernel and Parameters -- Fundamental Stabilities of Various Forms of Complex Valued Functional Equations -- Statistical summability of double sequences by the weighted mean and associated approximation results -- A survey on a conjecture of rainer bruck -- Nonlinear Magneto-Elasticity: Direct and Inverse Problems -- Note on periodic and asymptotically periodic solutions of fractional differential equations -- Mathematics of Wavefields -- A Variational Technique to the Homogenization of Maxwell Equations -- The Narimanov-Moiseev multimodal analysis of nonlinear sloshing in circular conical tanks -- The Lengyel–Epstein Reaction Diffusion System -- Prediction and Control of Buckling: The Inverse Bifurcation Problems for von Karman equations -- Numerical Solution with special layer adapted meshes for singularly perturbed boundary value problems -- Use of Galerkin technique in some water wave scattering problems involving plane vertical barriers -- Dynamics of a class of Leslie-Gower predation models with a non-differentiable functional response -- Entire solutions of a nonlinear diffusion system -- Goal Programming Models for Managerial Strategic Decision Making -- Modeling highly random dynamical infectious systems -- On weighted convergence of double singular integral operators involving summation -- Circular-like and circular elements in free product banach ∗-algebras induced by p-adic number fields Qp over primes p -- On Statistical Deferred Weighted B-convergence -- Multi Poly-Bernoulli and Multi Poly-Euler Polynomials -- Geometric properties of normalized Wright functions -- On the spectra of difference operators over some Banach spaces. |
Record Nr. | UNINA-9910483546803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Brain Informatics and Health [[electronic resource] ] : International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings / / edited by Dominik Slezak, Ah-Hwee Tan, James F. Peters, Lars Schwabe |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (XVIII, 597 p. 230 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Pattern recognition Application software Optical data processing User interfaces (Computer systems) Information storage and retrieval Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Image Processing and Computer Vision User Interfaces and Human Computer Interaction Information Storage and Retrieval |
ISBN | 3-319-09891-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Brain understanding -- Cognitive modelling -- Brain data analytics -- Health data analytics -- Brain informatics and data management -- Semantic aspects of biomedical analytics -- healthcare technologies and systems -- Analysis of complex medical data -- Understanding of information processing in brain -- Neuroimaging data processing strategies -- Advanced methods of interactive data mining for personalized medicine. |
Record Nr. | UNISA-996198265003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Brain Informatics and Health : International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings / / edited by Dominik Slezak, Ah-Hwee Tan, James F. Peters, Lars Schwabe |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (XVIII, 597 p. 230 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Pattern recognition Application software Optical data processing User interfaces (Computer systems) Information storage and retrieval Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Image Processing and Computer Vision User Interfaces and Human Computer Interaction Information Storage and Retrieval |
ISBN | 3-319-09891-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Brain understanding -- Cognitive modelling -- Brain data analytics -- Health data analytics -- Brain informatics and data management -- Semantic aspects of biomedical analytics -- healthcare technologies and systems -- Analysis of complex medical data -- Understanding of information processing in brain -- Neuroimaging data processing strategies -- Advanced methods of interactive data mining for personalized medicine. |
Record Nr. | UNINA-9910484950903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Rough fuzzy image analysis : foundations and methodologies / / editors, Sankar K. Pal, James F. Peters |
Pubbl/distr/stampa | Boca Raton : , : Taylor & Francis, , 2010 |
Descrizione fisica | 1 online resource (259 p.) |
Disciplina | 621.36/7 |
Altri autori (Persone) |
PalSankar K
PetersJames F |
Collana | Chapman & Hall/CRC Mathematical and Computational Imaging |
Soggetto topico |
Image analysis
Fuzzy sets |
Soggetto genere / forma | Electronic books. |
ISBN |
0-429-16586-2
1-138-11623-8 1-282-90258-X 9786612902581 1-4398-0330-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title; Copyright; Preface; Table of Contents; 1 Cantor, Fuzzy, Near, and Rough Sets in Image Analysis; 2 Rough-Fuzzy Clustering Algorithm for Segmentation of Brain MR Images; 3 Image Thresholding using Generalized Rough Sets; 4 Mathematical Morphology and Rough Sets; 5 Rough Hybrid Scheme: An application of breast cancer imaging; 6 Applications of Fuzzy Rule-based Systems in Medical Image Understanding; 7 Near Set Evaluation And Recognition (NEAR) System; 8 Perceptual Systems Approach to Measuring Image Resemblance; 9 From Tolerance Near Sets to Perceptual Image Analysis
10 Image Segmentation: A Rough-set Theoretic Approach11 Rough Fuzzy Measures in Image Segmentation and Analysis; 12 Discovering Image Similarities. Tolerance Near Set Approach; Index |
Record Nr. | UNINA-9910459614603321 |
Boca Raton : , : Taylor & Francis, , 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Rough fuzzy image analysis : foundations and methodologies / / editors, Sankar K. Pal, James F. Peters |
Pubbl/distr/stampa | Boca Raton : , : Taylor & Francis, , 2010 |
Descrizione fisica | 1 online resource (259 p.) |
Disciplina | 621.36/7 |
Altri autori (Persone) |
PalSankar K
PetersJames F |
Collana | Chapman & Hall/CRC Mathematical and Computational Imaging |
Soggetto topico |
Image analysis
Fuzzy sets |
ISBN |
0-429-16586-2
1-138-11623-8 1-282-90258-X 9786612902581 1-4398-0330-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title; Copyright; Preface; Table of Contents; 1 Cantor, Fuzzy, Near, and Rough Sets in Image Analysis; 2 Rough-Fuzzy Clustering Algorithm for Segmentation of Brain MR Images; 3 Image Thresholding using Generalized Rough Sets; 4 Mathematical Morphology and Rough Sets; 5 Rough Hybrid Scheme: An application of breast cancer imaging; 6 Applications of Fuzzy Rule-based Systems in Medical Image Understanding; 7 Near Set Evaluation And Recognition (NEAR) System; 8 Perceptual Systems Approach to Measuring Image Resemblance; 9 From Tolerance Near Sets to Perceptual Image Analysis
10 Image Segmentation: A Rough-set Theoretic Approach11 Rough Fuzzy Measures in Image Segmentation and Analysis; 12 Discovering Image Similarities. Tolerance Near Set Approach; Index |
Record Nr. | UNINA-9910785250503321 |
Boca Raton : , : Taylor & Francis, , 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Rough fuzzy image analysis : foundations and methodologies / / edited by Sankar K. Pal, James F. Peters |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Boca Raton, : Taylor & Francis, 2010 |
Descrizione fisica | 1 online resource (259 p.) |
Disciplina | 621.36/7 |
Altri autori (Persone) |
PalSankar K
PetersJames F |
Collana | Chapman & Hall/CRC Mathematical and Computational Imaging |
Soggetto topico |
Image analysis
Fuzzy sets |
ISBN |
0-429-16586-2
1-138-11623-8 1-282-90258-X 9786612902581 1-4398-0330-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title; Copyright; Preface; Table of Contents; 1 Cantor, Fuzzy, Near, and Rough Sets in Image Analysis; 2 Rough-Fuzzy Clustering Algorithm for Segmentation of Brain MR Images; 3 Image Thresholding using Generalized Rough Sets; 4 Mathematical Morphology and Rough Sets; 5 Rough Hybrid Scheme: An application of breast cancer imaging; 6 Applications of Fuzzy Rule-based Systems in Medical Image Understanding; 7 Near Set Evaluation And Recognition (NEAR) System; 8 Perceptual Systems Approach to Measuring Image Resemblance; 9 From Tolerance Near Sets to Perceptual Image Analysis
10 Image Segmentation: A Rough-set Theoretic Approach11 Rough Fuzzy Measures in Image Segmentation and Analysis; 12 Discovering Image Similarities. Tolerance Near Set Approach; Index |
Record Nr. | UNINA-9910827303003321 |
Boca Raton, : Taylor & Francis, 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Rough Sets and Current Trends in Computing [[electronic resource] ] : Third International Conference, RSCTC 2002, Malvern, PA, USA, October 14-16, 2002. Proceedings / / edited by James J. Alpigini, James F. Peters, Andrzeij Skowron, Ning Zhong |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
Descrizione fisica | 1 online resource (XVI, 644 p.) |
Disciplina | 004 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Computers
Software engineering Artificial intelligence Mathematical logic Pattern recognition Theory of Computation Software Engineering/Programming and Operating Systems Artificial Intelligence Mathematical Logic and Formal Languages Computation by Abstract Devices Pattern Recognition |
ISBN | 3-540-45813-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Papers -- In Pursuit of Patterns in Data Reasoning from Data - The Rough Set Way -- Toward a Theory of Hierarchical Definability (THD) -- Plenary Papers -- Modelling Biological Phenomena with Rough Sets -- Database Mining on Derived Attributes Granular and Rough Computing Approach -- A Proposed Evolutionary, Self-Organizing Automaton for the Control of Dynamic Systems -- Rough Set Analysis of Preference-Ordered Data -- Fuzzy Sets, Multi-valued Mappings, and Rough Sets -- Foundations and Methods I -- Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model -- A Quantitative Analysis of Preclusivity vs. Similarity Based Rough Approximations -- Heyting Wajsberg Algebras as an Abstract Environment Linking Fuzzy and Rough Sets -- Dominance-Based Rough Set Approach Using Possibility and Necessity Measures -- Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs -- Generalized Rough Sets and Rule Extraction -- Towards a Mereological System for Direct Products and Relations -- On the Structure of Rough Approximations -- Modification of Weights of Conflict Profile’s Elements and Dependencies of Attributes in Consensus Model -- Reasoning about Information Granules Based on Rough Logic -- Foundations and Methods II -- A Rough Set Framework for Learning in a Directed Acyclic Graph -- On Compressible Information Systems -- Functional Dependencies in Relational Expressions Based on Or-Sets -- On Asymptotic Properties of Rough— Set— Theoretic Approximations. Fractal Dimension, Exact Sets, and Rough Inclusion in Potentially Infinite Information Systems -- About Tolerance and Similarity Relations in Information Systems -- Rough Sets, Guarded Command Language, and Decision Rules -- Collaborative Query Processing in DKS Controlled by Reducts -- A New Method for Determining of Extensions and Restrictions of Information Systems -- A Logic Programming Framework for Rough Sets -- Attribute Core of Decision Table -- Foundations and Methods III -- Signal Analysis Using Rough Integrals -- How Much Privacy? — A System to Safe Guard Personal Privacy while Releasing Databases -- Rough Clustering: An Alternative to Find Meaningful Clusters by Using the Reducts from a Dataset -- Concept Learning with Approximation: Rough Version Spaces -- Variable Consistency Monotonic Decision Trees -- Importance and Interaction of Conditions in Decision Rules -- Time Complexity of Rough Clustering: GAs versus K-Means -- Induction of Decision Rules and Classification in the Valued Tolerance Approach -- Time Series Model Mining with Similarity-Based Neuro-fuzzy Networks and Genetic Algorithms: A Parallel Implementation -- Granular and Neuro Computing -- Closeness of Performance Map Information Granules: A Rough Set Approach -- Granular Computing on Binary Relations Analysis of Conflict and Chinese Wall Security Policy -- Measures of Inclusion and Closeness of Information Granules: A Rough Set Approach -- Rough Neurocomputing: A Survey of Basic Models of Neurocomputation -- Rough Neurocomputing Based on Hierarchical Classifiers -- Using Granular Objects in Multi-source Data Fusion -- Induction of Classification Rules by Granular Computing -- Probabilistic Reasoning -- Acquisition Methods for Contextual Weak Independence -- A Method for Detecting Context-Specific Independence in Conditional Probability Tables -- Properties of Weak Conditional Independence -- A Proposal of Probability of Rough Event Based on Probability of Fuzzy Event -- Approximate Bayesian Network Classifiers -- Accuracy and Coverage in Rough Set Rule Induction -- Statistical Test for Rough Set Approximation Based on Fisher’s Exact Test -- Triangulation of Bayesian Networks: A Relational Database Perspective -- Data Mining, Machine Learning, and Pattern Recognition -- A New Version of Rough Set Exploration System -- Local Attribute Value Grouping for Lazy Rule Induction -- Incomplete Data Decomposition for Classification -- Extension of Relational Management Systems with Data Mining Capabilities -- Reducing Number of Decision Rules by Joining -- Scalable Classification Method Based on Rough Sets -- Parallel Data Mining Experimentation Using Flexible Configurations -- An Optimization of Apriori Algorithm through the Usage of Parallel I/O and Hints -- Patterns in Information Maps -- Discernibility Matrix Approach to Exception Analysis -- Gastric Cancer Data Mining with Ordered Information -- Web Mining -- A Granular Approach for Analyzing the Degree of Affability of a Web Site -- Comparison of Classification Methods for Customer Attrition Analysis -- User Profile Model: A View from Artificial Intelligence -- Mining the Client’s Life Cycle Behaviour in the Web -- PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques -- VPRSM Approach to WEB Searching -- Applications I -- Rough Set Approach to the Survival Analysis -- The Identification of Low-Paying Workplaces: An Analysis Using the Variable Precision Rough Sets Model -- A Search for the Best Data Mining Method to Predict Melanoma -- Towards the Classification of Musical Works: A Rough Set Approach -- Segmentation of Medical Images Based on Approximations in Rough Set Theory -- Adaptive Robust Estimation for Filtering Motion Vectors -- Rough Set Feature Selection and Diagnostic Rule Generation for Industrial Applications -- Applications II -- ?-Connected Approximations for Rough Sets -- Adaptive Classifier Construction: An Approach to Handwritten Digit Recognition -- The Application of Support Diagnose in Mitochondrial Encephalomyopathies -- Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach -- Rough Neural Network for Software Change Prediction -- Handling Spatial Uncertainty in Binary Images: A Rough Set Based Approach -- Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials -- Rough Mereological Localization and Navigation. |
Record Nr. | UNISA-996465507603316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Rough Sets and Current Trends in Computing : Third International Conference, RSCTC 2002, Malvern, PA, USA, October 14-16, 2002. Proceedings / / edited by James J. Alpigini, James F. Peters, Andrzeij Skowron, Ning Zhong |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
Descrizione fisica | 1 online resource (XVI, 644 p.) |
Disciplina | 004 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Computers
Software engineering Artificial intelligence Mathematical logic Pattern recognition Theory of Computation Software Engineering/Programming and Operating Systems Artificial Intelligence Mathematical Logic and Formal Languages Computation by Abstract Devices Pattern Recognition |
ISBN | 3-540-45813-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Papers -- In Pursuit of Patterns in Data Reasoning from Data - The Rough Set Way -- Toward a Theory of Hierarchical Definability (THD) -- Plenary Papers -- Modelling Biological Phenomena with Rough Sets -- Database Mining on Derived Attributes Granular and Rough Computing Approach -- A Proposed Evolutionary, Self-Organizing Automaton for the Control of Dynamic Systems -- Rough Set Analysis of Preference-Ordered Data -- Fuzzy Sets, Multi-valued Mappings, and Rough Sets -- Foundations and Methods I -- Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model -- A Quantitative Analysis of Preclusivity vs. Similarity Based Rough Approximations -- Heyting Wajsberg Algebras as an Abstract Environment Linking Fuzzy and Rough Sets -- Dominance-Based Rough Set Approach Using Possibility and Necessity Measures -- Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs -- Generalized Rough Sets and Rule Extraction -- Towards a Mereological System for Direct Products and Relations -- On the Structure of Rough Approximations -- Modification of Weights of Conflict Profile’s Elements and Dependencies of Attributes in Consensus Model -- Reasoning about Information Granules Based on Rough Logic -- Foundations and Methods II -- A Rough Set Framework for Learning in a Directed Acyclic Graph -- On Compressible Information Systems -- Functional Dependencies in Relational Expressions Based on Or-Sets -- On Asymptotic Properties of Rough— Set— Theoretic Approximations. Fractal Dimension, Exact Sets, and Rough Inclusion in Potentially Infinite Information Systems -- About Tolerance and Similarity Relations in Information Systems -- Rough Sets, Guarded Command Language, and Decision Rules -- Collaborative Query Processing in DKS Controlled by Reducts -- A New Method for Determining of Extensions and Restrictions of Information Systems -- A Logic Programming Framework for Rough Sets -- Attribute Core of Decision Table -- Foundations and Methods III -- Signal Analysis Using Rough Integrals -- How Much Privacy? — A System to Safe Guard Personal Privacy while Releasing Databases -- Rough Clustering: An Alternative to Find Meaningful Clusters by Using the Reducts from a Dataset -- Concept Learning with Approximation: Rough Version Spaces -- Variable Consistency Monotonic Decision Trees -- Importance and Interaction of Conditions in Decision Rules -- Time Complexity of Rough Clustering: GAs versus K-Means -- Induction of Decision Rules and Classification in the Valued Tolerance Approach -- Time Series Model Mining with Similarity-Based Neuro-fuzzy Networks and Genetic Algorithms: A Parallel Implementation -- Granular and Neuro Computing -- Closeness of Performance Map Information Granules: A Rough Set Approach -- Granular Computing on Binary Relations Analysis of Conflict and Chinese Wall Security Policy -- Measures of Inclusion and Closeness of Information Granules: A Rough Set Approach -- Rough Neurocomputing: A Survey of Basic Models of Neurocomputation -- Rough Neurocomputing Based on Hierarchical Classifiers -- Using Granular Objects in Multi-source Data Fusion -- Induction of Classification Rules by Granular Computing -- Probabilistic Reasoning -- Acquisition Methods for Contextual Weak Independence -- A Method for Detecting Context-Specific Independence in Conditional Probability Tables -- Properties of Weak Conditional Independence -- A Proposal of Probability of Rough Event Based on Probability of Fuzzy Event -- Approximate Bayesian Network Classifiers -- Accuracy and Coverage in Rough Set Rule Induction -- Statistical Test for Rough Set Approximation Based on Fisher’s Exact Test -- Triangulation of Bayesian Networks: A Relational Database Perspective -- Data Mining, Machine Learning, and Pattern Recognition -- A New Version of Rough Set Exploration System -- Local Attribute Value Grouping for Lazy Rule Induction -- Incomplete Data Decomposition for Classification -- Extension of Relational Management Systems with Data Mining Capabilities -- Reducing Number of Decision Rules by Joining -- Scalable Classification Method Based on Rough Sets -- Parallel Data Mining Experimentation Using Flexible Configurations -- An Optimization of Apriori Algorithm through the Usage of Parallel I/O and Hints -- Patterns in Information Maps -- Discernibility Matrix Approach to Exception Analysis -- Gastric Cancer Data Mining with Ordered Information -- Web Mining -- A Granular Approach for Analyzing the Degree of Affability of a Web Site -- Comparison of Classification Methods for Customer Attrition Analysis -- User Profile Model: A View from Artificial Intelligence -- Mining the Client’s Life Cycle Behaviour in the Web -- PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques -- VPRSM Approach to WEB Searching -- Applications I -- Rough Set Approach to the Survival Analysis -- The Identification of Low-Paying Workplaces: An Analysis Using the Variable Precision Rough Sets Model -- A Search for the Best Data Mining Method to Predict Melanoma -- Towards the Classification of Musical Works: A Rough Set Approach -- Segmentation of Medical Images Based on Approximations in Rough Set Theory -- Adaptive Robust Estimation for Filtering Motion Vectors -- Rough Set Feature Selection and Diagnostic Rule Generation for Industrial Applications -- Applications II -- ?-Connected Approximations for Rough Sets -- Adaptive Classifier Construction: An Approach to Handwritten Digit Recognition -- The Application of Support Diagnose in Mitochondrial Encephalomyopathies -- Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach -- Rough Neural Network for Software Change Prediction -- Handling Spatial Uncertainty in Binary Images: A Rough Set Based Approach -- Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials -- Rough Mereological Localization and Navigation. |
Record Nr. | UNINA-9910143892003321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
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Lo trovi qui: Univ. Federico II | ||
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Rough Sets and Knowledge Technology [[electronic resource] ] : First International Conference, RSKT 2006, Chongquing, China, July 24-26, 2006, Proceedings / / edited by James F. Peters, Yiju Yao |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
Descrizione fisica | 1 online resource (XXII, 810 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Information storage and retrieval systems Database management Machine theory Computer science Pattern recognition systems Artificial Intelligence Information Storage and Retrieval Database Management Formal Languages and Automata Theory Theory of Computation Automated Pattern Recognition |
ISBN | 3-540-36299-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Commemorative Paper -- Keynote Papers -- Plenary Papers -- Rough Computing -- Evolutionary Computing -- Fuzzy Sets -- Granular Computing -- Neural Computing -- Machine Learning and KDD -- Logics and Reasoning -- Multiagent Systems and Web Intelligence -- Pattern Recognition -- System Engineering and Description -- Real-Life Applications Based on Knowledge Technology. |
Record Nr. | UNISA-996466122603316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing [[electronic resource] ] : 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II / / edited by Dominik Slezak, JingTao Yao, James F. Peters, Wojciech Ziarko, Xiaohua Hu |
Edizione | [1st ed. 2005.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
Descrizione fisica | 1 online resource (XXIV, 748 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Information storage and retrieval Database management Mathematical logic Computers Pattern recognition Artificial Intelligence Information Storage and Retrieval Database Management Mathematical Logic and Formal Languages Computation by Abstract Devices Pattern Recognition |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Papers -- Rough Set Software -- Data Mining -- Hybrid and Hierarchical Methods -- Information Retrieval -- Image Recognition and Processing -- Multimedia Applications -- Medical Applications -- Bioinformatic Applications -- Web Content Analysis -- Business Applications -- Security Applications -- Industrial Applications -- Embedded Systems and Networking -- Intelligent and Sapient Systems. |
Record Nr. | UNISA-996465400003316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
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Lo trovi qui: Univ. di Salerno | ||
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