Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659750298 ISBN 13: 9783659750298
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Stochastic Modeling for Distributed Data Mining | Manikandan Mani (u. a.) | Taschenbuch | 180 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659750298 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659750298 ISBN 13: 9783659750298
Seller: Mispah books, Redhill, SURRE, United Kingdom
paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2015, 2015
ISBN 10: 3659750298 ISBN 13: 9783659750298
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining and knowledge discovery are powerful data analysis tools for the task of critical applications to minimize, filter, extract or transform large databases or data sets into summarized information and exploring hidden patterns in Knowledge Discovery Database (KDD). Data mining has been applied in several fields such as biological, medicine, industrial, business, economic, e-commerce, security, terrorism and other fields. It provides a means of extracting previously unknown, predictive information from the base of accessible data in data warehouses. It also uses sophisticated and automated algorithms to discover hidden patterns, correlations and relationships among organizational data. 180 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659750298 ISBN 13: 9783659750298
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mani ManikandanDr. Manikandan M is presently working as a Assistant Professor cum Statistician in the Department of Community Medicine, Pondicherry Institute of Medical Sciences, Puducherry. He has done his post graduate degree in St.
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2015, 2015
ISBN 10: 3659750298 ISBN 13: 9783659750298
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data mining and knowledge discovery are powerful data analysis tools for the task of critical applications to minimize, filter, extract or transform large databases or data sets into summarized information and exploring hidden patterns in Knowledge Discovery Database (KDD). Data mining has been applied in several fields such as biological, medicine, industrial, business, economic, e-commerce, security, terrorism and other fields. It provides a means of extracting previously unknown, predictive information from the base of accessible data in data warehouses. It also uses sophisticated and automated algorithms to discover hidden patterns, correlations and relationships among organizational data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659750298 ISBN 13: 9783659750298
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining and knowledge discovery are powerful data analysis tools for the task of critical applications to minimize, filter, extract or transform large databases or data sets into summarized information and exploring hidden patterns in Knowledge Discovery Database (KDD). Data mining has been applied in several fields such as biological, medicine, industrial, business, economic, e-commerce, security, terrorism and other fields. It provides a means of extracting previously unknown, predictive information from the base of accessible data in data warehouses. It also uses sophisticated and automated algorithms to discover hidden patterns, correlations and relationships among organizational data.