Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620043672X ISBN 13: 9786200436726
Librería: preigu, Osnabrück, Alemania
EUR 53,25
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Data Warehousing and Data Mining | simplified view to learn | K. Laxmi Narayanamma (u. a.) | Taschenbuch | 140 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200436726 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 620043672X ISBN 13: 9786200436726
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 61,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The course addresses the concepts, skills, methodologies, and models of data warehousing. The proper techniques for designing data warehouses for various business domains, and covers concepts for potential uses of the data warehouse and other data repositories in mining opportunities are addressed. Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge- driven decisions. 140 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620043672X ISBN 13: 9786200436726
Librería: moluna, Greven, Alemania
EUR 50,66
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Laxmi Narayanamma K.Ms. K.Laxminarayanamma working as an Assistant Professor in the department of information technology at Institute of Aeronautical Engineering colleg,She has research experience in Data Mining.Mr.Apparao Yannam wor.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 620043672X ISBN 13: 9786200436726
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 61,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The course addresses the concepts, skills, methodologies, and models of data warehousing. The proper techniques for designing data warehouses for various business domains, and covers concepts for potential uses of the data warehouse and other data repositories in mining opportunities are addressed. Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge- driven decisions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620043672X ISBN 13: 9786200436726
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 62,64
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The course addresses the concepts, skills, methodologies, and models of data warehousing. The proper techniques for designing data warehouses for various business domains, and covers concepts for potential uses of the data warehouse and other data repositories in mining opportunities are addressed. Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge- driven decisions.