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Foundations of soft case-based reasoning [[electronic resource] /] / Sankar K. Pal, Simon C.K. Shiu
| Foundations of soft case-based reasoning [[electronic resource] /] / Sankar K. Pal, Simon C.K. Shiu |
| Autore | Pal Sankar K |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, c2004 |
| Descrizione fisica | 1 online resource (298 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | ShiuSimon C. K |
| Collana | Wiley series on intelligent systems |
| Soggetto topico |
Soft computing
Case-based reasoning |
| ISBN |
1-280-36798-9
9786610367986 0-470-34668-X 0-471-64466-8 0-471-64467-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
FOUNDATIONS OF SOFT CASE-BASED REASONING; CONTENTS; FOREWORD; PREFACE; ABOUT THE AUTHORS; 1 INTRODUCTION; 1.1 Background; 1.2 Components and Features of Case-Based Reasoning; 1.2.1 CBR System versus Rule-Based System; 1.2.2 CBR versus Human Reasoning; 1.2.3 CBR Life Cycle; 1.3 Guidelines for the Use of Case-Based Reasoning; 1.4 Advantages of Using Case-Based Reasoning; 1.5 Case Representation and Indexing; 1.5.1 Case Representation; 1.5.2 Case Indexing; 1.6 Case Retrieval; 1.7 Case Adaptation; 1.8 Case Learning and Case-Base Maintenance; 1.8.1 Learning in CBR Systems
1.8.2 Case-Base Maintenance1.9 Example of Building a Case-Based Reasoning System; 1.9.1 Case Representation; 1.9.2 Case Indexing; 1.9.3 Case Retrieval; 1.9.4 Case Adaptation; 1.9.5 Case-Base Maintenance; 1.10 Case-Based Reasoning: Methodology or Technology?; 1.11 Soft Case-Based Reasoning; 1.11.1 Fuzzy Logic; 1.11.2 Neural Networks; 1.11.3 Genetic Algorithms; 1.11.4 Some CBR Tasks for Soft Computing Applications; 1.12 Summary; References; 2 CASE REPRESENTATION AND INDEXING; 2.1 Introduction; 2.2 Traditional Methods of Case Representation; 2.2.1 Relational Representation 2.2.2 Object-Oriented Representation2.2.3 Predicate Representation; 2.2.4 Comparison of Case Representations; 2.3 Soft Computing Techniques for Case Representation; 2.3.1 Case Knowledge Representation Based on Fuzzy Sets; 2.3.2 Rough Sets and Determining Reducts; 2.3.3 Prototypical Case Generation Using Reducts with Fuzzy Representation; 2.4 Case Indexing; 2.4.1 Traditional Indexing Method; 2.4.2 Case Indexing Using a Bayesian Model; 2.4.3 Case Indexing Using a Prototype-Based Neural Network; 2.4.4 Case Indexing Using a Three-Layered Back Propagation Neural Network; 2.5 Summary; References 3 CASE SELECTION AND RETRIEVAL3.1 Introduction; 3.2 Similarity Concept; 3.2.1 Weighted Euclidean Distance; 3.2.2 Hamming and Levenshtein Distances; 3.2.3 Cosine Coefficient for Text-Based Cases; 3.2.4 Other Similarity Measures; 3.2.5 k-Nearest Neighbor Principle; 3.3 Concept of Fuzzy Sets in Measuring Similarity; 3.3.1 Relevance of Fuzzy Similarity in Case Matching; 3.3.2 Computing Fuzzy Similarity Between Cases; 3.4 Fuzzy Classification and Clustering of Cases; 3.4.1 Weighted Intracluster and Intercluster Similarity; 3.4.2 Fuzzy ID3 Algorithm for Classification 3.4.3 Fuzzy c-Means Algorithm for Clustering3.5 Case Feature Weighting; 3.5.1 Using Gradient-Descent Technique and Neural Networks; 3.5.2 Using Genetic Algorithms; 3.6 Case Selection and Retrieval Using Neural Networks; 3.6.1 Methodology; 3.6.2 Glass Identification; 3.7 Case Selection Using a Neuro-Fuzzy Model; 3.7.1 Selection of Cases and Class Representation; 3.7.2 Formulation of the Network; 3.8 Case Selection Using Rough-Self Organizing Map; 3.8.1 Pattern Indiscernibility and Fuzzy Discretization of Feature Space; 3.8.2 Methodology for Generation of Reducts; 3.8.3 Rough SOM 3.8.4 Experimental Results |
| Record Nr. | UNINA-9910143491203321 |
Pal Sankar K
|
||
| Hoboken, N.J., : John Wiley & Sons, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Foundations of soft case-based reasoning / / Sankar K. Pal, Simon C.K. Shiu
| Foundations of soft case-based reasoning / / Sankar K. Pal, Simon C.K. Shiu |
| Autore | Pal Sankar K |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, c2004 |
| Descrizione fisica | 1 online resource (298 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | ShiuSimon C. K |
| Collana | Wiley series on intelligent systems |
| Soggetto topico |
Soft computing
Case-based reasoning |
| ISBN |
9786610367986
9781280367984 1280367989 9780470346686 047034668X 9780471644668 0471644668 9780471644675 0471644676 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
FOUNDATIONS OF SOFT CASE-BASED REASONING; CONTENTS; FOREWORD; PREFACE; ABOUT THE AUTHORS; 1 INTRODUCTION; 1.1 Background; 1.2 Components and Features of Case-Based Reasoning; 1.2.1 CBR System versus Rule-Based System; 1.2.2 CBR versus Human Reasoning; 1.2.3 CBR Life Cycle; 1.3 Guidelines for the Use of Case-Based Reasoning; 1.4 Advantages of Using Case-Based Reasoning; 1.5 Case Representation and Indexing; 1.5.1 Case Representation; 1.5.2 Case Indexing; 1.6 Case Retrieval; 1.7 Case Adaptation; 1.8 Case Learning and Case-Base Maintenance; 1.8.1 Learning in CBR Systems
1.8.2 Case-Base Maintenance1.9 Example of Building a Case-Based Reasoning System; 1.9.1 Case Representation; 1.9.2 Case Indexing; 1.9.3 Case Retrieval; 1.9.4 Case Adaptation; 1.9.5 Case-Base Maintenance; 1.10 Case-Based Reasoning: Methodology or Technology?; 1.11 Soft Case-Based Reasoning; 1.11.1 Fuzzy Logic; 1.11.2 Neural Networks; 1.11.3 Genetic Algorithms; 1.11.4 Some CBR Tasks for Soft Computing Applications; 1.12 Summary; References; 2 CASE REPRESENTATION AND INDEXING; 2.1 Introduction; 2.2 Traditional Methods of Case Representation; 2.2.1 Relational Representation 2.2.2 Object-Oriented Representation2.2.3 Predicate Representation; 2.2.4 Comparison of Case Representations; 2.3 Soft Computing Techniques for Case Representation; 2.3.1 Case Knowledge Representation Based on Fuzzy Sets; 2.3.2 Rough Sets and Determining Reducts; 2.3.3 Prototypical Case Generation Using Reducts with Fuzzy Representation; 2.4 Case Indexing; 2.4.1 Traditional Indexing Method; 2.4.2 Case Indexing Using a Bayesian Model; 2.4.3 Case Indexing Using a Prototype-Based Neural Network; 2.4.4 Case Indexing Using a Three-Layered Back Propagation Neural Network; 2.5 Summary; References 3 CASE SELECTION AND RETRIEVAL3.1 Introduction; 3.2 Similarity Concept; 3.2.1 Weighted Euclidean Distance; 3.2.2 Hamming and Levenshtein Distances; 3.2.3 Cosine Coefficient for Text-Based Cases; 3.2.4 Other Similarity Measures; 3.2.5 k-Nearest Neighbor Principle; 3.3 Concept of Fuzzy Sets in Measuring Similarity; 3.3.1 Relevance of Fuzzy Similarity in Case Matching; 3.3.2 Computing Fuzzy Similarity Between Cases; 3.4 Fuzzy Classification and Clustering of Cases; 3.4.1 Weighted Intracluster and Intercluster Similarity; 3.4.2 Fuzzy ID3 Algorithm for Classification 3.4.3 Fuzzy c-Means Algorithm for Clustering3.5 Case Feature Weighting; 3.5.1 Using Gradient-Descent Technique and Neural Networks; 3.5.2 Using Genetic Algorithms; 3.6 Case Selection and Retrieval Using Neural Networks; 3.6.1 Methodology; 3.6.2 Glass Identification; 3.7 Case Selection Using a Neuro-Fuzzy Model; 3.7.1 Selection of Cases and Class Representation; 3.7.2 Formulation of the Network; 3.8 Case Selection Using Rough-Self Organizing Map; 3.8.1 Pattern Indiscernibility and Fuzzy Discretization of Feature Space; 3.8.2 Methodology for Generation of Reducts; 3.8.3 Rough SOM 3.8.4 Experimental Results |
| Record Nr. | UNINA-9910811879303321 |
|
Pal Sankar K
|
||
| Hoboken, N.J., : John Wiley & Sons, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Granular Neural Networks, Pattern Recognition and Bioinformatics / / by Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada
| Granular Neural Networks, Pattern Recognition and Bioinformatics / / by Sankar K. Pal, Shubhra S. Ray, Avatharam Ganivada |
| Autore | Pal Sankar K |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIX, 227 p. 54 illus., 31 illus. in color.) |
| Disciplina | 006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Bioinformatics Computational Intelligence Artificial Intelligence Computational Biology/Bioinformatics |
| ISBN | 3-319-57115-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Granular Computing, Pattern Recognition and Data Mining -- Classification using Fuzzy Rough Granular Neural Networks -- Clustering using Fuzzy Rough Granular Self-Organizing Map -- Fuzzy Rough Granular Neural Network and Unsupervised Feature Selection. |
| Record Nr. | UNINA-9910254312803321 |
|
Pal Sankar K
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Perception and Machine Intelligence : Second International Conference on Perception and Machine Intelligence, PerMIn '15 : Kolkata, India, February 26-27, 2015 : proceedings
| Perception and Machine Intelligence : Second International Conference on Perception and Machine Intelligence, PerMIn '15 : Kolkata, India, February 26-27, 2015 : proceedings |
| Autore | Pal Sankar K |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2015 |
| Descrizione fisica | 1 online resource (269 pages) |
| Collana | ACM Other conferences |
| Soggetto topico |
Computer Science
Engineering & Applied Sciences |
| ISBN | 1-4503-2002-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the 2nd International Conference on Perception and Machine Intelligence
PerMIn '15 2nd International Conference on Perception and Machine Intelligence, Kolkata, West Bengal, India - February 26 - 27, 2015 |
| Record Nr. | UNINA-9910376612003321 |
|
Pal Sankar K
|
||
| [Place of publication not identified], : ACM, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||