Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 62,40
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 61,38
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
EUR 57,43
Quantité disponible : 10 disponible(s)
Ajouter au panierPF. Etat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 75,32
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 79,50
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. 140.
EUR 77,92
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 2015 edition. 150 pages. 9.00x6.00x0.25 inches. In Stock.
Langue: anglais
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2015
ISBN 10 : 3662461927 ISBN 13 : 9783662461921
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,49
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is mainly about an innovative and fundamental method called 'intelligent knowledge' to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the 'first-order' analytic process, 'second-order' analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.
EUR 50,40
Quantité disponible : 5 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Intelligent Knowledge | A Study beyond Data Mining | Yong Shi (u. a.) | Taschenbuch | SpringerBriefs in Business | xvi | Englisch | 2015 | Springer | EAN 9783662461921 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 158,30
Quantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 46,22
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer Berlin Heidelberg Mai 2015, 2015
ISBN 10 : 3662461927 ISBN 13 : 9783662461921
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 53,49
Quantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is mainly about an innovative and fundamental method called 'intelligent knowledge' to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the 'first-order' analytic process, 'second-order' analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines. 168 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 80,53
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand 140.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 80,98
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND 140.
Langue: anglais
Edité par Springer Berlin Heidelberg, 2015
ISBN 10 : 3662461927 ISBN 13 : 9783662461921
Vendeur : moluna, Greven, Allemagne
EUR 48,37
Quantité disponible : Plus de 20 disponibles
Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A valuable resource for researchers who want to learn how the results of data mining (hidden patterns) can be used to effectively support decision-making Argues that the human knowledge or preferences of end-users should be combined with the resul.
Langue: anglais
Edité par Springer, Springer Vieweg Mai 2015, 2015
ISBN 10 : 3662461927 ISBN 13 : 9783662461921
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 53,49
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is mainly about an innovative and fundamental method called ¿intelligent knowledge¿ to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the ¿first-order¿ analytic process, ¿second-order¿ analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 168 pp. Englisch.