Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Principles of Data Mining and Knowledge Discovery [[electronic resource] ] : 4th European Conference, PKDD, 2000, Lyon, France, September 13-16, 2000 Proceedings / / edited by Djamel A. Zighed, Jan Komorowski, Jan Zytkow
| Principles of Data Mining and Knowledge Discovery [[electronic resource] ] : 4th European Conference, PKDD, 2000, Lyon, France, September 13-16, 2000 Proceedings / / edited by Djamel A. Zighed, Jan Komorowski, Jan Zytkow |
| Edizione | [1st ed. 2000.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 |
| Descrizione fisica | 1 online resource (XV, 701 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Computer science Information storage and retrieval Application software Computer science—Mathematics Artificial Intelligence Data Structures and Information Theory Popular Computer Science Information Storage and Retrieval Information Systems Applications (incl. Internet) Symbolic and Algebraic Manipulation |
| ISBN | 3-540-45372-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Towards Broader Foundations -- Rules and Trees -- Databases and Reward-Based Learning -- Classication -- Association Rules and Exceptions -- Instance-Based Discovery -- Clustering and Classification -- Time Series -- Posters. |
| Record Nr. | UNISA-996466353503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Principles of Data Mining and Knowledge Discovery : 4th European Conference, PKDD, 2000, Lyon, France, September 13-16, 2000 Proceedings / / edited by Djamel A. Zighed, Jan Komorowski, Jan Zytkow
| Principles of Data Mining and Knowledge Discovery : 4th European Conference, PKDD, 2000, Lyon, France, September 13-16, 2000 Proceedings / / edited by Djamel A. Zighed, Jan Komorowski, Jan Zytkow |
| Edizione | [1st ed. 2000.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 |
| Descrizione fisica | 1 online resource (XV, 701 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Computer science Information storage and retrieval Application software Computer science—Mathematics Artificial Intelligence Data Structures and Information Theory Popular Computer Science Information Storage and Retrieval Information Systems Applications (incl. Internet) Symbolic and Algebraic Manipulation |
| ISBN | 3-540-45372-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Towards Broader Foundations -- Rules and Trees -- Databases and Reward-Based Learning -- Classication -- Association Rules and Exceptions -- Instance-Based Discovery -- Clustering and Classification -- Time Series -- Posters. |
| Record Nr. | UNINA-9910143619003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Principles of Data Mining and Knowledge Discovery [[electronic resource] ] : First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings / / edited by Jan Komorowski, Jan Zytkow
| Principles of Data Mining and Knowledge Discovery [[electronic resource] ] : First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings / / edited by Jan Komorowski, Jan Zytkow |
| Edizione | [1st ed. 1997.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
| Descrizione fisica | 1 online resource (XII, 404 p.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Information storage and retrieval Multimedia information systems Mathematical statistics Information technology Business—Data processing Artificial Intelligence Information Storage and Retrieval Multimedia Information Systems Probability and Statistics in Computer Science IT in Business |
| ISBN | 3-540-69236-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge discovery — A control theory perspective -- Modelling customer retention with Rough Data Models -- Share based measures for itemsets -- Parallel knowledge discovery using domain generalization graphs -- Rough set theory and rule induction techniques for discovery of attribute dependencies in medical information systems -- Logical calculi for knowledge discovery in databases -- Extraction of experts' decision process from clinical databases using rough set model -- Discovering of health risks and case-based forecasting of epidemics in a health surveillance system -- An algorithm for multi-relational discovery of subgroups -- Finding similar time series -- Exploration of document collections with self-organizing maps: A novel approach to similarity representation -- Pattern based browsing in document collections -- Induction of fuzzy characteristic rules -- Regression-based classification methods and their comparison with decision tree algorithms -- Attribute discovery and rough sets -- Generation of rules from incomplete information systems -- Knowledge discovery from software engineering data: Rough set analysis and its interaction with goal-oriented measurement -- Efficient multisplitting on numerical data -- SNOUT: An intelligent assistant for exploratory data analysis -- Exploratory analysis of biochemical processes using hybrid modeling methods -- Using signature files for querying time-series data -- A new and versatile method for association generation -- Bivariate decision trees -- Towards process-oriented tool support for knowledge discovery in databases -- A connectionist approach to structural similarity determination as a basis of clustering, classification and feature detection -- Searching for relational patterns in data -- Finding spatial clusters -- Interactive interpretation of hierarchical clustering -- The principle of transformation between efficiency and effectiveness: Towards a fair evaluation of the cost-effectiveness of KDD techniques -- Recognizing reliability of discovered knowledge -- Clustering techniques in biological sequence analysis -- TOAS intelligence mining; analysis of natural language processing and computational linguistics -- Algorithms for constructing of decision trees -- Mining in the phrasal frontier -- Mining time series using rough sets — A case study -- Neural networks design: Rough set approach to continuous data -- On meta levels of an organized society of KDD agents -- Using neural network to extract knowledge from database -- Induction of strong feature subsets -- Rough sets for data mining and knowledge discovery -- Techniques and applications of KDD -- A tutorial introduction to high performance data mining -- Data mining in the telecommunications industry. |
| Record Nr. | UNINA-9910144924903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Principles of Data Mining and Knowledge Discovery [[electronic resource] ] : First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings / / edited by Jan Komorowski, Jan Zytkow
| Principles of Data Mining and Knowledge Discovery [[electronic resource] ] : First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings / / edited by Jan Komorowski, Jan Zytkow |
| Edizione | [1st ed. 1997.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
| Descrizione fisica | 1 online resource (XII, 404 p.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Information storage and retrieval Multimedia information systems Mathematical statistics Information technology Business—Data processing Artificial Intelligence Information Storage and Retrieval Multimedia Information Systems Probability and Statistics in Computer Science IT in Business |
| ISBN | 3-540-69236-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge discovery — A control theory perspective -- Modelling customer retention with Rough Data Models -- Share based measures for itemsets -- Parallel knowledge discovery using domain generalization graphs -- Rough set theory and rule induction techniques for discovery of attribute dependencies in medical information systems -- Logical calculi for knowledge discovery in databases -- Extraction of experts' decision process from clinical databases using rough set model -- Discovering of health risks and case-based forecasting of epidemics in a health surveillance system -- An algorithm for multi-relational discovery of subgroups -- Finding similar time series -- Exploration of document collections with self-organizing maps: A novel approach to similarity representation -- Pattern based browsing in document collections -- Induction of fuzzy characteristic rules -- Regression-based classification methods and their comparison with decision tree algorithms -- Attribute discovery and rough sets -- Generation of rules from incomplete information systems -- Knowledge discovery from software engineering data: Rough set analysis and its interaction with goal-oriented measurement -- Efficient multisplitting on numerical data -- SNOUT: An intelligent assistant for exploratory data analysis -- Exploratory analysis of biochemical processes using hybrid modeling methods -- Using signature files for querying time-series data -- A new and versatile method for association generation -- Bivariate decision trees -- Towards process-oriented tool support for knowledge discovery in databases -- A connectionist approach to structural similarity determination as a basis of clustering, classification and feature detection -- Searching for relational patterns in data -- Finding spatial clusters -- Interactive interpretation of hierarchical clustering -- The principle of transformation between efficiency and effectiveness: Towards a fair evaluation of the cost-effectiveness of KDD techniques -- Recognizing reliability of discovered knowledge -- Clustering techniques in biological sequence analysis -- TOAS intelligence mining; analysis of natural language processing and computational linguistics -- Algorithms for constructing of decision trees -- Mining in the phrasal frontier -- Mining time series using rough sets — A case study -- Neural networks design: Rough set approach to continuous data -- On meta levels of an organized society of KDD agents -- Using neural network to extract knowledge from database -- Induction of strong feature subsets -- Rough sets for data mining and knowledge discovery -- Techniques and applications of KDD -- A tutorial introduction to high performance data mining -- Data mining in the telecommunications industry. |
| Record Nr. | UNISA-996465761203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||