Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6134963240 ISBN 13: 9786134963244
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 61,49
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6134963240 ISBN 13: 9786134963244
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Integration of PSO and Classification Algorithms for Data Mining | Subhendu Pani | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786134963244 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6134963240 ISBN 13: 9786134963244
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book is basically for the computer science researcher and it will also give the basic idea and implementation of data Classification algorithm.Data mining researcher also implementing the techniques using different data-sets.Data classification is an important task in KDD (knowledge discovery in databases) process. It has several potential applications. Feature selection reduces the dimensions and simplifies the data. It leads to better performance of the classification models in terms of their predictive or descriptive accuracy, diminishing of computing time needed to build models as they learn faster, and better understanding of the models. 56 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6134963240 ISBN 13: 9786134963244
Anbieter: moluna, Greven, Deutschland
EUR 31,27
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pani SubhenduCurrently working as a Profess(Associate)in the Dept. of CSE at Orissa Engineering College under BPUT.The primary research is on data mining and its applications using machine learning techniques. He is also interested .
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6134963240 ISBN 13: 9786134963244
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book is basically for the computer science researcher and it will also give the basic idea and implementation of data Classification algorithm.Data mining researcher also implementing the techniques using different data-sets.Data classification is an important task in KDD (knowledge discovery in databases) process. It has several potential applications. Feature selection reduces the dimensions and simplifies the data. It leads to better performance of the classification models in terms of their predictive or descriptive accuracy, diminishing of computing time needed to build models as they learn faster, and better understanding of the models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6134963240 ISBN 13: 9786134963244
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book is basically for the computer science researcher and it will also give the basic idea and implementation of data Classification algorithm.Data mining researcher also implementing the techniques using different data-sets.Data classification is an important task in KDD (knowledge discovery in databases) process. It has several potential applications. Feature selection reduces the dimensions and simplifies the data. It leads to better performance of the classification models in terms of their predictive or descriptive accuracy, diminishing of computing time needed to build models as they learn faster, and better understanding of the models.