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Active mining [[electronic resource] ] : new directions of data mining / / edited by Hiroshi Motoda
| Active mining [[electronic resource] ] : new directions of data mining / / edited by Hiroshi Motoda |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press |
| Descrizione fisica | x, 291 p. : ill |
| Disciplina | 006.3/12 |
| Altri autori (Persone) | MotodaHiroshi |
| Collana | Frontiers in artificial intelligence and applications,Knowledge-based intelligent engineering systems |
| Soggetto topico | Data mining |
| Soggetto genere / forma | Electronic books. |
| ISBN |
600-00-0325-0
9786610505555 1-60129-400-X 1-280-50555-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910455592003321 |
| Amsterdam ; ; Washington, DC, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Active mining [[electronic resource] ] : new directions of data mining / / edited by Hiroshi Motoda
| Active mining [[electronic resource] ] : new directions of data mining / / edited by Hiroshi Motoda |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press |
| Descrizione fisica | x, 291 p. : ill |
| Disciplina | 006.3/12 |
| Altri autori (Persone) | MotodaHiroshi |
| Collana | Frontiers in artificial intelligence and applications,Knowledge-based intelligent engineering systems |
| Soggetto topico | Data mining |
| ISBN |
600-00-0325-0
9786610505555 1-60129-400-X 1-280-50555-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910780248303321 |
| Amsterdam ; ; Washington, DC, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Active mining : new directions of data mining / / edited by Hiroshi Motoda
| Active mining : new directions of data mining / / edited by Hiroshi Motoda |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press |
| Descrizione fisica | x, 291 p. : ill |
| Disciplina | 006.3/12 |
| Altri autori (Persone) | MotodaHiroshi |
| Collana | Frontiers in artificial intelligence and applications,Knowledge-based intelligent engineering systems |
| Soggetto topico | Data mining |
| ISBN |
600-00-0325-0
9786610505555 1-60129-400-X 1-280-50555-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title page -- Preface -- Acknowledgments -- Contents -- I. Data Collection -- Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources -- Data Mining on the WAVEs - Word-of-mouth-Assisting Virtual Environments -- Immune Network-based Clustering for WWW Information Gathering/Visualization -- Interactive Web Page Retrieval with Relational Learning-based Filtering Rules -- Monitoring Partial Update of Web Pages by Interactive Relational Learning -- Context-based Classification of Technical Terms Using Support Vector Machines -- Intelligent Tickers: An Information Integration Scheme for Active Information Gathering -- II. User Centered Mining -- Discovery of Concept Relation Rules Using an Incomplete Key Concept Dictionary -- Mining Frequent Substructures from Web -- Towards the Discovery of Web Communities from Input Keywords to a Search Engine -- Temporal Spatial Index Techniques for OLAP in Traffic Data Warehouse -- Knowledge Discovery from Structured Data by Beam-wise Graph-Based Induction -- PAGA Discovery: A Worst-Case Analysis of Rule Discovery for Active Mining -- Evaluating the Automatic Composition of Inductive Applications Using StatLog Repository of Data Set -- Fast Boosting Based on Iterative Data Squashing -- Reducing Crossovers in Reconciliation Graphs Using the Coupling Cluster Exchange Method with a Genetic Algorithm -- Outlier Detection using Cluster Discriminant Analysis -- III. User Reaction and Interaction -- Evidence-Based Medicine and Data Mining: Developing a Causal Model via Meta-Learning Methodology -- KeyGraph for Classifying Web Communities -- Case Generation Method for Constructing an RDR Knowledge Base -- Acquiring Knowledge from Both Human Experts and Accumulated Data in an Unstable Environment.
Active Participation of Users with Visualizaiton Tools in the Knowledge Discovery Process -- The Future Direction of Active Mining in the Business World -- Topographical Expression of a Rule for Active Mining -- The Effect of Spatial Representation of Information on Decision Making in Purchase -- A Hybrid Approach of Multiscale Matching and Rough Clustering to Knowledge Discovery in Temporal Medical Databases -- Meta Analysis for Data Mining -- Author Index -- A -- B -- C -- F -- H -- I -- K -- M -- N -- O -- S -- T -- U -- W -- Y. |
| Record Nr. | UNINA-9910820617103321 |
| Amsterdam ; ; Washington, DC, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in learning theory [[electronic resource] ] : methods, models, and applications / / edited by Johan Suykens ... [et al.]
| Advances in learning theory [[electronic resource] ] : methods, models, and applications / / edited by Johan Suykens ... [et al.] |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press |
| Descrizione fisica | 1 online resource (438 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) | SuykensJohan A. K |
| Collana | NATO science series. Series III, Computer and systems sciences |
| Soggetto topico |
Computational learning theory
Machine learning - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-50590-7
9786610505906 1-4175-1139-7 600-00-0332-3 1-60129-401-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title page; Preface; Organizing committee; List of chapter contributors; Contents; 1 An Overview of Statistical Learning Theory; 2 Best Choices for Regularization Parameters in Learning Theory: On the Bias-Variance Problem; 3 Cucker Smale Learning Theory in Besov Spaces; 4 High-dimensional Approximation by Neural Networks; 5 Functional Learning through Kernels; 6 Leave-one-out Error and Stability of Learning Algorithms with Applications; 7 Regularized Least-Squares Classification; 8 Support Vector Machines: Least Squares Approaches and Extensions
9 Extension of the ν-SVM Range for Classification10 Kernels Methods for Text Processing; 11 An Optimization Perspective on Kernel Partial Least Squares Regression; 12 Multiclass Learning with Output Codes; 13 Bayesian Regression and Classification; 14 Bayesian Field Theory: from Likelihood Fields to Hyperfields; 15 Bayesian Smoothing and Information Geometry; 16 Nonparametric Prediction; 17 Recent Advances in Statistical Learning Theory; 18 Neural Networks in Measurement Systems (an engineering view); List of participants; Subject Index; Author Index |
| Record Nr. | UNINA-9910449823103321 |
| Amsterdam ; ; Washington, DC, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in learning theory [[electronic resource] ] : methods, models, and applications / / edited by Johan Suykens ... [et al.]
| Advances in learning theory [[electronic resource] ] : methods, models, and applications / / edited by Johan Suykens ... [et al.] |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press |
| Descrizione fisica | 1 online resource (438 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) | SuykensJohan A. K |
| Collana | NATO science series. Series III, Computer and systems sciences |
| Soggetto topico |
Computational learning theory
Machine learning - Mathematical models |
| ISBN |
1-280-50590-7
9786610505906 1-4175-1139-7 600-00-0332-3 1-60129-401-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title page; Preface; Organizing committee; List of chapter contributors; Contents; 1 An Overview of Statistical Learning Theory; 2 Best Choices for Regularization Parameters in Learning Theory: On the Bias-Variance Problem; 3 Cucker Smale Learning Theory in Besov Spaces; 4 High-dimensional Approximation by Neural Networks; 5 Functional Learning through Kernels; 6 Leave-one-out Error and Stability of Learning Algorithms with Applications; 7 Regularized Least-Squares Classification; 8 Support Vector Machines: Least Squares Approaches and Extensions
9 Extension of the ν-SVM Range for Classification10 Kernels Methods for Text Processing; 11 An Optimization Perspective on Kernel Partial Least Squares Regression; 12 Multiclass Learning with Output Codes; 13 Bayesian Regression and Classification; 14 Bayesian Field Theory: from Likelihood Fields to Hyperfields; 15 Bayesian Smoothing and Information Geometry; 16 Nonparametric Prediction; 17 Recent Advances in Statistical Learning Theory; 18 Neural Networks in Measurement Systems (an engineering view); List of participants; Subject Index; Author Index |
| Record Nr. | UNINA-9910783421103321 |
| Amsterdam ; ; Washington, DC, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in learning theory : methods, models, and applications / / edited by Johan Suykens ... [et al.]
| Advances in learning theory : methods, models, and applications / / edited by Johan Suykens ... [et al.] |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press |
| Descrizione fisica | 1 online resource (438 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) | SuykensJohan A. K |
| Collana | NATO science series. Series III, Computer and systems sciences |
| Soggetto topico |
Computational learning theory
Machine learning - Mathematical models |
| ISBN |
1-280-50590-7
9786610505906 1-4175-1139-7 600-00-0332-3 1-60129-401-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title page; Preface; Organizing committee; List of chapter contributors; Contents; 1 An Overview of Statistical Learning Theory; 2 Best Choices for Regularization Parameters in Learning Theory: On the Bias-Variance Problem; 3 Cucker Smale Learning Theory in Besov Spaces; 4 High-dimensional Approximation by Neural Networks; 5 Functional Learning through Kernels; 6 Leave-one-out Error and Stability of Learning Algorithms with Applications; 7 Regularized Least-Squares Classification; 8 Support Vector Machines: Least Squares Approaches and Extensions
9 Extension of the ν-SVM Range for Classification10 Kernels Methods for Text Processing; 11 An Optimization Perspective on Kernel Partial Least Squares Regression; 12 Multiclass Learning with Output Codes; 13 Bayesian Regression and Classification; 14 Bayesian Field Theory: from Likelihood Fields to Hyperfields; 15 Bayesian Smoothing and Information Geometry; 16 Nonparametric Prediction; 17 Recent Advances in Statistical Learning Theory; 18 Neural Networks in Measurement Systems (an engineering view); List of participants; Subject Index; Author Index |
| Record Nr. | UNINA-9910814308603321 |
| Amsterdam ; ; Washington, DC, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Annotation for the semantic web [[electronic resource] /] / edited by Siegfried Handschuh and Steffen Staab
| Annotation for the semantic web [[electronic resource] /] / edited by Siegfried Handschuh and Steffen Staab |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press |
| Descrizione fisica | 1 online resource (240 p.) |
| Disciplina | 025.04 |
| Altri autori (Persone) |
HandschuhSiegfried
StaabSteffen |
| Collana | Frontiers in artificial intelligence and applications |
| Soggetto topico |
Semantic Web
Semantic networks (Information theory) Knowledge management |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-50591-5
9786610505913 600-00-0344-7 1-60129-404-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title page; Foreword; Contents; The Digital Library Approach; Manual Annotations; Wrapping; Information Extraction & Linguistics; Graphics; Usage of Annotations; Author Index |
| Record Nr. | UNINA-9910449821303321 |
| Amsterdam ; ; Washington, DC, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Annotation for the semantic web [[electronic resource] /] / edited by Siegfried Handschuh and Steffen Staab
| Annotation for the semantic web [[electronic resource] /] / edited by Siegfried Handschuh and Steffen Staab |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press |
| Descrizione fisica | 1 online resource (240 p.) |
| Disciplina | 025.04 |
| Altri autori (Persone) |
HandschuhSiegfried
StaabSteffen |
| Collana | Frontiers in artificial intelligence and applications |
| Soggetto topico |
Semantic Web
Semantic networks (Information theory) Knowledge management |
| ISBN |
1-280-50591-5
9786610505913 600-00-0344-7 1-60129-404-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title page; Foreword; Contents; The Digital Library Approach; Manual Annotations; Wrapping; Information Extraction & Linguistics; Graphics; Usage of Annotations; Author Index |
| Record Nr. | UNINA-9910783421303321 |
| Amsterdam ; ; Washington, DC, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Annotation for the semantic web / / edited by Siegfried Handschuh and Steffen Staab
| Annotation for the semantic web / / edited by Siegfried Handschuh and Steffen Staab |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press |
| Descrizione fisica | 1 online resource (240 p.) |
| Disciplina | 025.04 |
| Altri autori (Persone) |
HandschuhSiegfried
StaabSteffen |
| Collana | Frontiers in artificial intelligence and applications |
| Soggetto topico |
Semantic Web
Semantic networks (Information theory) Knowledge management |
| ISBN |
1-280-50591-5
9786610505913 600-00-0344-7 1-60129-404-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title page; Foreword; Contents; The Digital Library Approach; Manual Annotations; Wrapping; Information Extraction & Linguistics; Graphics; Usage of Annotations; Author Index |
| Record Nr. | UNINA-9910809129203321 |
| Amsterdam ; ; Washington, DC, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bose-Einstein condensation in atomic gases = Condensazione di Bose-Einstein nei gas atomici / edited by M. Inguscio, S. Stringari and C.E. Wieman, directors of the course Varenna on Lake Como, Villa Monastero, 7-17 July 1998
| Bose-Einstein condensation in atomic gases = Condensazione di Bose-Einstein nei gas atomici / edited by M. Inguscio, S. Stringari and C.E. Wieman, directors of the course Varenna on Lake Como, Villa Monastero, 7-17 July 1998 |
| Autore | International School of Physics "Enrico Fermi"Meeting <1999 ; Varenna, Italy> |
| Pubbl/distr/stampa | Amsterdam : IOS Press |
| Descrizione fisica | xviii, 637 p. : ill. ; 25 cm |
| Altri autori (Persone) |
Inguscio, M.
Stringari, S. Wieman, Carl Edwin |
| Altri autori (Enti) | Società Italiana di Fisica |
| Collana |
Proceedings of the International School of Physics "Enrico Fermi" ; course 140
Rendiconti della Scuola Internazionale di Fisica "Enrico Fermi" ; 140 |
| Soggetto topico |
Bose-Einstein condensation - Congresses
Bose-Einstein gas - Congresses Condensation (Physics) - Congresses Gases - Congresses |
| ISBN |
0967335558 (IOS Press)
4274903125 (Ohmsha) |
| Classificazione |
LC QC175.47.B65
53.6.1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000492359707536 |
International School of Physics "Enrico Fermi"Meeting <1999 ; Varenna, Italy>
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| Amsterdam : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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