Articoli correlati a Proactive Data Mining with Decision Trees
Sinossi
This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Recensione
From the book reviews:
“This concise (88 page) book introduces readers to the basic concepts of proactive data mining with decision trees. ... The book is very well written, easy to understand, and easy to follow. Each chapter is well organized. ... The book is especially useful for practitioners who would like to get started in using data mining tools for business applications.” (Xiannong Meng, Computing Reviews, October, 2014)Contenuti
Introduction.- Proactive Data Mining: A General Approach.- Proactive Data Mining Using Decision Trees.- Proactive Data Mining in the Real World: Case Studies.- Sensitivity Analysis of Proactive Data Mining.- Conclusions.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer
- Data di pubblicazione2014
- ISBN 10 1493905384
- ISBN 13 9781493905386
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine100
- Contatto del produttorenon disponibile
Compra nuovo
Visualizza questo articolo
EUR 48,38
GRATIS per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiAltre edizioni note dello stesso titolo
Risultati della ricerca per Proactive Data Mining with Decision Trees
Foto dell'editore
Proactive Data Mining with Decision Trees (SpringerBriefs in Electrical and Computer Engineering)
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-F-007-02234
Quantità: 1 disponibili
Foto dell'editore
Proactive Data Mining with Decision Trees
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Codice articolo ABNR-279992
Quantità: 1 disponibili
Foto dell'editore
Proactive Data Mining with Decision Trees
Da: Basi6 International, Irving, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Codice articolo ABEJUNE24-183013
Quantità: 3 disponibili
Immagini fornite dal venditore
Proactive Data Mining with Decision Trees
Editore:
Springer New York, 2014
ISBN 10: 1493905384
ISBN 13: 9781493905386
Nuovo
Kartoniert / Broschiert
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes supplementary material: sn.pub/extrasThis book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but al. Codice articolo 4213828
Quantità: Più di 20 disponibili
Foto dell'editore
Proactive Data Mining with Decision Trees (eng)
Print on DemandDa: Brook Bookstore On Demand, Napoli, NA, Italia
Valutazione del venditore 5 su 5 stelle
Condizione: new. Questo è un articolo print on demand. Codice articolo bffe41d298671f01c3ac8f7607a45b4f
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Proactive Data Mining with Decision Trees
Editore:
Springer New York Feb 2014, 2014
ISBN 10: 1493905384
ISBN 13: 9781493905386
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students. 100 pp. Englisch. Codice articolo 9781493905386
Quantità: 2 disponibili
Immagini fornite dal venditore
Proactive Data Mining with Decision Trees
Editore:
Springer New York, Springer US Feb 2014, 2014
ISBN 10: 1493905384
ISBN 13: 9781493905386
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 100 pp. Englisch. Codice articolo 9781493905386
Quantità: 2 disponibili
Immagini fornite dal venditore
Proactive Data Mining with Decision Trees
Editore:
Springer New York, Springer US, 2014
ISBN 10: 1493905384
ISBN 13: 9781493905386
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students. Codice articolo 9781493905386
Quantità: 1 disponibili
Foto dell'editore
Proactive Data Mining with Decision Trees
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 100. Codice articolo 26127090163
Quantità: 4 disponibili
Foto dell'editore
Proactive Data Mining with Decision Trees
Print on DemandDa: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Print on Demand pp. 100 20 Illus. Codice articolo 132416044
Quantità: 4 disponibili