Articoli correlati a Rough Sets and Data Mining: Analysis of Imprecise Data
Sinossi
An edited collection of research on the most recent developments in rough set theory and data mining, the chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. This text should be a useful reference work for rough set researchers, database designers and developers, and for researchers new to the areas of data mining and rough sets.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Preface. Part I: Expositions. 1. Rough Sets; Z. Pawlak. 2. Data Mining: Trends in Research and Development; J. Deogun, et al. 3. A Review of Rough Set Models; Y.Y. Yao, et al. 4. Rough Control: A Perspective; T. Munakata. Part II: Applications. 5. Machine Learning & Knowledge Acquisition, Rough Sets, and the English Semantic Code; J. Grzymala-Busse, et al. 6. Generation of Multiple Knowledge from Databases Based on Rough Set Theory; X. Hu, et al. 7. Fuzzy Controllers: An Integrated Approach Based on Fuzzy Logic, Rough Sets, and Evolutionary Computing; T.Y. Lin. 8. Rough Real Functions and Rough Controllers; Z. Pawlak. 9. A Fusion of Rough Sets, Modified Rough Sets, and Genetic Algorithms for Hybrid Diagnostic Systems; R. Hashemi, et al. 10. Rough Sets as a Tool for Studying Attribute Dependencies in the Urinary Stones Treatment Data Set; J. Stefanowski, K. Slowinski. Part III: Related Areas. 11. Data Mining Using Attribute-Oriented Generalization and Information Reduction; N. Cercone, et al. 12. Neighborhoods, Rough Sets, and Query Relaxation in Cooperative Answering; J.B. Michael, T.Y. Lin. 13. Resolving Queries Through Cooperation in Multi-Agent Systems; Z. Ras. 14. Synthesis of Decision Systems From Data Tables; A. Skowron, L. Polkowski. 15. Combination of Rough and Fuzzy Sets Based on Alpha-Level Sets; Y.Y. Yao. 16. Theories that Combine Many Equivalence and Subset Relations; J. Zytkow, R. Zembowicz. Part IV: Generalization. 17. Generalized Rough Sets in Contextual Spaces; E. Bryniarski, U. Wybraniec- Skardowksa. 18. Maintenance of Reducts in the Variable Precision Rough Set Model; M. Kryszkiewicz. 19. Probabilistic Rough Classifiers with Mixture of Discrete and Continuous Attributes; A. Lenarcik, Z. Piasta. 20. Algebraic Formulation of Machine Learning Methods Based on Rough Sets, Matroid Theory, and Combinatorial Geometry; S. Tsumoto, H. Tanaka. 21. Topological Rough Algebras; A. Wasilewska. Index.
Product Description
Book by None
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Rough Sets and Data Mining: Analysis of Imprecise Data
Foto dell'editore
Rough Sets and Data Mining: Analysis of Imprecise Data
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9780792398073_new
Compra nuovo
EUR 165,23
Spedizione EUR 13,94
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Rough Sets and Data Mining : Analysis for Imprecise Data
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 269164-n
Compra nuovo
EUR 165,21
Spedizione EUR 17,46
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Rough Sets and Data Mining
Editore:
Springer US, Springer US Nov 1996, 1996
ISBN 10: 0792398076
ISBN 13: 9780792398073
Nuovo
Rilegato
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets. 452 pp. Englisch. Codice articolo 9780792398073
Compra nuovo
EUR 160,49
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Rough Sets and Data Mining : Analysis for Imprecise Data
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 269164-n
Compra nuovo
EUR 182,20
Spedizione EUR 2,28
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Rough Sets and Data Mining
Print on DemandDa: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering . Codice articolo 5971738
Compra nuovo
EUR 136,16
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Rough Sets and Data Mining | Analysis of Imprecise Data
Print on DemandDa: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. Rough Sets and Data Mining | Analysis of Imprecise Data | N. Cercone (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 1996 | Humana | EAN 9780792398073 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102589436
Compra nuovo
EUR 141,20
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Immagini fornite dal venditore
Rough Sets and Data Mining
Editore:
Springer US, Humana Nov 1996, 1996
ISBN 10: 0792398076
ISBN 13: 9780792398073
Nuovo
Rilegato
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases.The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others.Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 452 pp. Englisch. Codice articolo 9780792398073
Compra nuovo
EUR 160,49
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Rough Sets and Data Mining : Analysis of Imprecise Data
Da: Buchpark, Trebbin, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: Gut. Zustand: Gut | Seiten: 452 | Sprache: Englisch | Produktart: Bücher | Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets. Codice articolo 1360944/3
Compra usato
EUR 122,02
Spedizione EUR 105,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Rough Sets and Data Mining : Analysis of Imprecise Data
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets. Codice articolo 9780792398073
Compra nuovo
EUR 168,73
Spedizione EUR 64,20
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Rough Sets and Data Mining
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 452. Codice articolo 263091871
Compra nuovo
EUR 238,82
Spedizione EUR 3,44
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 4 disponibili