Articoli correlati a Knowledge Discovery and Data Mining: The Info-Fuzzy...
Sinossi
This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
List of Figures. List of Tables. Acknowledgements. Preface. Part I: Information-Theoretic Approach to Knowledge Discovery. 1. Introduction. 2. Automated data pre-processing. 3. Information-Theoretic Connectionist Networks. 4. Post-Processing of Data Mining Results. Part II: Application Methodology and Case Studies. 5. Methodology of Application. 6. Case Studies. Part III: Comparative Study and Advanced Issues. 7. Comparative Study. 8. Advanced Data Mining Methods. 9. Summary and Some Open Problems. References. Appendices. Index.
Product Description
Book by Oded Maimon Mark Last
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreKluwer Academic Pub
- Data di pubblicazione2000
- ISBN 10 0792366476
- ISBN 13 9780792366478
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine171
Compra nuovo
Visualizza questo articolo
EUR 107,43
EUR 3,57 per la spedizione in U.S.A.
Destinazione, tempi e costiAltre edizioni note dello stesso titolo
Risultati della ricerca per Knowledge Discovery and Data Mining: The Info-Fuzzy...
Immagini fornite dal venditore
Knowledge Discovery and Data Mining - The Info-Fuzzy Network (IFN) Methodology
Da: Flamingo Books, Menifee, CA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Very Good. 2001 Kluwer Academic Publishers (Dordrecht, The Netherlands), 6 1/2 x 9 3/4 inches tall hardcover, no dust jacket (as issued), index, xix, 171 pp. Very slight soiling, rubbing and edgewear to coverswith minor bumping to the lower tips. Otherwise, a very good copy - clean, bright and unmarked. ~SP02~ [1.5P] This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices. Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results). Codice articolo SP02-0712-12133
Quantità: 1 disponibili
Foto dell'editore
Knowledge Discovery and Data Mining - The Info-Fuzzy Network (IFN) Methodology
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo ABLIING23Feb2416190183903
Quantità: Più di 20 disponibili
Foto dell'editore
Knowledge Discovery and Data Mining - The Info-Fuzzy Network (IFN) Methodology
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9780792366478_new
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Knowledge Discovery 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. This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. Codice articolo 5969582
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Knowledge Discovery and Data Mining : The Info-Fuzzy Network (IFN) Methodology
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site . Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results). Codice articolo 9780792366478
Quantità: 1 disponibili
Foto dell'editore
Knowledge Discovery and Data Mining: The Info-Fuzzy Network (IFN) Methodology
Print on DemandDa: THE SAINT BOOKSTORE, Southport, Regno Unito
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1020. Codice articolo C9780792366478
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Knowledge Discovery and Data Mining
Print on DemandDa: 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 -This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site . Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results). 196 pp. Englisch. Codice articolo 9780792366478
Quantità: 2 disponibili
Foto dell'editore
Knowledge Discovery and Data Mining
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. PRINT ON DEMAND pp. 192. Codice articolo 18463917
Quantità: 4 disponibili
Foto dell'editore
Knowledge Discovery and Data Mining - The Info-Fuzzy Network (IFN) Methodology
Da: dsmbooks, Liverpool, Regno Unito
Valutazione del venditore 4 su 5 stelle
Hardcover. Condizione: Like New. Like New. book. Codice articolo D7F7-3-M-0792366476-6
Quantità: 1 disponibili