9783659951145 - Data Mining for Information Security: An Experimental Approach de Hota, H. S.; Shrivas, A. K.; Singhai, S. K. (9 resultados)

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Paperback. Condición: Brand New. 140 pages. 8.66x5.91x0.32 inches. In Stock.

Taschenbuch. Condición: Neu. Data Mining for Information Security: An Experimental Approach | H. S. Hota (u. a.) | Taschenbuch | 140 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659951145 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information security is an important issue for any organization or individual to protect data and information from unauthorized access. Valuable data and information are kept in the system connected through the computer network and are needed to secure against the intruders. Data Mining techniques provides solution to overcome the above mentioned problem. This book explores various data mining techniques like C-4.5, CART, CHAID, QUEST, Random Forest etc. with special reference to feature selection and used to develop models. An attempt has been made to develop ensemble model also, models were tested with many benchmark data sets like spam e-mail, KDD99, NSL-KDD and verified with many classification measures. These models as classifier are required to be deployed in the network or individual computer which will classify unwanted data and will alarm to the users for taking appropriate action. A brief experimental work has been carried out with above benchmark data sets using data mining software like WEKA and Clementine. 140 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hota H.S.Dr. H.S.Hota has obtained his Ph.D. degree from Guru Ghasidas University, Bilaspur and currently working as Head and Associate Professor (Computer Science) in the department of Computer Science and Application,Bilaspur Univ.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Information security is an important issue for any organization or individual to protect data and information from unauthorized access. Valuable data and information are kept in the system connected through the computer network and are needed to secure against the intruders. Data Mining techniques provides solution to overcome the above mentioned problem. This book explores various data mining techniques like C-4.5, CART, CHAID, QUEST, Random Forest etc. with special reference to feature selection and used to develop models. An attempt has been made to develop ensemble model also, models were tested with many benchmark data sets like spam e-mail, KDD99, NSL-KDD and verified with many classification measures. These models as classifier are required to be deployed in the network or individual computer which will classify unwanted data and will alarm to the users for taking appropriate action. A brief experimental work has been carried out with above benchmark data sets using data mining software like WEKA and Clementine.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information security is an important issue for any organization or individual to protect data and information from unauthorized access. Valuable data and information are kept in the system connected through the computer network and are needed to secure against the intruders. Data Mining techniques provides solution to overcome the above mentioned problem. This book explores various data mining techniques like C-4.5, CART, CHAID, QUEST, Random Forest etc. with special reference to feature selection and used to develop models. An attempt has been made to develop ensemble model also, models were tested with many benchmark data sets like spam e-mail, KDD99, NSL-KDD and verified with many classification measures. These models as classifier are required to be deployed in the network or individual computer which will classify unwanted data and will alarm to the users for taking appropriate action. A brief experimental work has been carried out with above benchmark data sets using data mining software like WEKA and Clementine.