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Añadir al carritoTaschenbuch. Condición: Neu. Optimized Map Reduce Based Shuffling Mechanism for Density Clustering | A Datamining Approach | Er. Karuna Ghai (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204978796 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204978799 ISBN 13: 9786204978796
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining can be defined as 'the process to extract necessary data from a large size of data in the same way as extraction of minerals from mine fields'. Clustering is 'the process of classifying the objects of same type into different groups'. In other words, data set is partitioned into its subsets such that the data for each subset employ some common attributes.The techniques used for data mining can be enforced quickly on different existing stages to improve the value of already existed information assets. These may be evaluated with fresh products and systems as they are purchased online. If implementation on superior client or server processing computers takes place then the tools of data mining can identify large databases to produce answers of the questions like: 'Which clients are most likely to respond to my next promotional mailing, and why 'Data mining is much more than just formal data analysis. It utilizes traditional analysis tools like: statistics and graphics tools and those tools which are related to artificial intelligence like: principle induction and neural nets. 164 pp. Englisch.
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Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204978799 ISBN 13: 9786204978796
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ghai Er. KarunaEr. Karuna Ghai and Er. Jaspreet Singh both are working in Chandigarh university as an assistant professor in department of computer science and engineering. Both have relevant experience in Teaching as well as researc.
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Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204978799 ISBN 13: 9786204978796
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data mining can be defined as 'the process to extract necessary data from a large size of data in the same way as extraction of minerals from mine fields'. Clustering is 'the process of classifying the objects of same type into different groups'. In other words, data set is partitioned into its subsets such that the data for each subset employ some common attributes.The techniques used for data mining can be enforced quickly on different existing stages to improve the value of already existed information assets. These may be evaluated with fresh products and systems as they are purchased online. If implementation on superior client or server processing computers takes place then the tools of data mining can identify large databases to produce answers of the questions like: 'Which clients are most likely to respond to my next promotional mailing, and why 'Data mining is much more than just formal data analysis. It utilizes traditional analysis tools like: statistics and graphics tools and those tools which are related to artificial intelligence like: principle induction and neural nets.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch.
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Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204978799 ISBN 13: 9786204978796
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining can be defined as 'the process to extract necessary data from a large size of data in the same way as extraction of minerals from mine fields'. Clustering is 'the process of classifying the objects of same type into different groups'. In other words, data set is partitioned into its subsets such that the data for each subset employ some common attributes.The techniques used for data mining can be enforced quickly on different existing stages to improve the value of already existed information assets. These may be evaluated with fresh products and systems as they are purchased online. If implementation on superior client or server processing computers takes place then the tools of data mining can identify large databases to produce answers of the questions like: 'Which clients are most likely to respond to my next promotional mailing, and why 'Data mining is much more than just formal data analysis. It utilizes traditional analysis tools like: statistics and graphics tools and those tools which are related to artificial intelligence like: principle induction and neural nets.