Survey on data mining techniques in intrusion detection: Information Security with Data Mining - Couverture souple

Chauhan, Amanpreet

9783848480135: Survey on data mining techniques in intrusion detection: Information Security with Data Mining

Couverture souple

ISBN 10 : 3848480131 ISBN 13 : 9783848480135

Editeur : LAP LAMBERT Academic Publishing, 2012

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Data mining is the extraction of the valuable data from the large amount of data. There are numerous number of algorithms available for data mining. Single algorithm is not capable of producing efficient results. There is a key term in data mining known as ensemble learning which means combining two or more classifiers for the better result.I have used the KDD'99 dataset for the experiment which have 41 features labeled either as normal or as attack. In this book I have represented how the graphical tool weka can be used for data mining and how ensemble learning can be implemented using weka. I have used three classifiers with the Bagging ensemble learning approach which are complementary naive bayes and two are rule based classifiers, part and jrip. My experiment shows that bagging improves the efficiency of the rule based classifiers as well as of naive bayes; however, the rule based classifiers become more efficient with bagging.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2012
Langue: anglais
ISBN 10: 3848480131
ISBN 13: 9783848480135
Reliure: Broch�
Nombre de pages: 64
Coordonn�es du fabricant: non disponible
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Survey on data mining techniques in intrusion detection

Amanpreet Chauhan

Edit� par LAP LAMBERT Academic Publishing Apr 2012, 2012

ISBN 10 : 3848480131 ISBN 13 : 9783848480135

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining is the extraction of the valuable data from the large amount of data. There are numerous number of algorithms available for data mining. Single algorithm is not capable of producing efficient results. There is a key term in data mining known as ensemble learning which means combining two or more classifiers for the better result.I have used the KDD'99 dataset for the experiment which have 41 features labeled either as normal or as attack. In this book I have represented how the graphical tool weka can be used for data mining and how ensemble learning can be implemented using weka. I have used three classifiers with the Bagging ensemble learning approach which are complementary naive bayes and two are rule based classifiers, part and jrip. My experiment shows that bagging improves the efficiency of the rule based classifiers as well as of naive bayes; however, the rule based classifiers become more efficient with bagging. 64 pp. Englisch. N� de r�f. du vendeur 9783848480135

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Survey on data mining techniques in intrusion detection

Amanpreet Chauhan

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3848480131 ISBN 13 : 9783848480135

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chauhan AmanpreetAmanpreet Chauhan is born in India and has received his Bachelor s degree in Computer Science & Engg. from Malout Institute of Management & Information Technology,Malout India.Currently he is pursuing Advanced Diplo. N� de r�f. du vendeur 5525825

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Survey on data mining techniques in intrusion detection

Amanpreet Chauhan

Edit� par LAP LAMBERT Academic Publishing Apr 2012, 2012

ISBN 10 : 3848480131 ISBN 13 : 9783848480135

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data mining is the extraction of the valuable data from the large amount of data. There are numerous number of algorithms available for data mining. Single algorithm is not capable of producing efficient results. There is a key term in data mining known as ensemble learning which means combining two or more classifiers for the better result.I have used the KDD'99 dataset for the experiment which have 41 features labeled either as normal or as attack. In this book I have represented how the graphical tool weka can be used for data mining and how ensemble learning can be implemented using weka. I have used three classifiers with the Bagging ensemble learning approach which are complementary naive bayes and two are rule based classifiers, part and jrip. My experiment shows that bagging improves the efficiency of the rule based classifiers as well as of naive bayes; however, the rule based classifiers become more efficient with bagging.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 64 pp. Englisch. N� de r�f. du vendeur 9783848480135

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Survey on data mining techniques in intrusion detection : Information Security with Data Mining

Amanpreet Chauhan

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3848480131 ISBN 13 : 9783848480135

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining is the extraction of the valuable data from the large amount of data. There are numerous number of algorithms available for data mining. Single algorithm is not capable of producing efficient results. There is a key term in data mining known as ensemble learning which means combining two or more classifiers for the better result.I have used the KDD'99 dataset for the experiment which have 41 features labeled either as normal or as attack. In this book I have represented how the graphical tool weka can be used for data mining and how ensemble learning can be implemented using weka. I have used three classifiers with the Bagging ensemble learning approach which are complementary naive bayes and two are rule based classifiers, part and jrip. My experiment shows that bagging improves the efficiency of the rule based classifiers as well as of naive bayes; however, the rule based classifiers become more efficient with bagging. N� de r�f. du vendeur 9783848480135

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