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Data Mining Approach Security by Chaudhari Anita (9 results)
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Data mining approach in Security Information Event Management
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341 ISBN 13: 9786202023344
Language: English
Condition: New.
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Data mining approach in Security Information & Event Management
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341 ISBN 13: 9786202023344
Language: English
Paperback. Condition: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.
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Data mining approach in Security Information & Event Management
Published by LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202023341 ISBN 13: 9786202023344
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This work will be useful for research purpose in applying data mining approach in security information event management system. In our project, we implemented Mining algorithm that correlates logs to give insight of Security. We can create intelligence in network security through machine learning algorithm. Recent survey indicate that internet of things will be most prominent technology. Our approach can be extent to IoT Security analysis. Currently we are doing research on IoT security.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch.
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Data mining approach in Security Information & Event Management
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341 ISBN 13: 9786202023344
Language: English
Taschenbuch. Condition: Neu. Data mining approach in Security Information & Event Management | Anita Chaudhari (u. a.) | Taschenbuch | 100 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202023344 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Data mining approach in Security Information & Event Management
Published by LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202023341 ISBN 13: 9786202023344
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work will be useful for research purpose in applying data mining approach in security information event management system. In our project, we implemented Mining algorithm that correlates logs to give insight of Security. We can create intelligence in network security through machine learning algorithm. Recent survey indicate that internet of things will be most prominent technology. Our approach can be extent to IoT Security analysis. Currently we are doing research on IoT security. 100 pp. Englisch.
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Data mining approach in Security Information Event Management
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341 ISBN 13: 9786202023344
Language: English
Condition: New. Print on Demand.
-
Data mining approach in Security Information & Event Management
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341 ISBN 13: 9786202023344
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chaudhari AnitaMrs. Anita Chaudhari,Working as Head of Department of Information Technology Department ,in St.John College of Engineering & management. Complete Masters of Engineering from Mumbai University with Distinction.Published.
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Data mining approach in Security Information Event Management
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341 ISBN 13: 9786202023344
Language: English
Condition: New. PRINT ON DEMAND.
-
Data mining approach in Security Information & Event Management
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202023341 ISBN 13: 9786202023344
Language: English
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work will be useful for research purpose in applying data mining approach in security information event management system. In our project, we implemented Mining algorithm that correlates logs to give insight of Security. We can create intelligence in network security through machine learning algorithm. Recent survey indicate that internet of things will be most prominent technology. Our approach can be extent to IoT Security analysis. Currently we are doing research on IoT security.
