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Survey on data mining techniques in intrusion detection: Information Security with Data Mining - Softcover
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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About the Author:
Amanpreet 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 Diploma in Networking from Centennial College, Canada. He is RHCE and his areas of interest are Network Security,Linux & Data Mining.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2012
- ISBN 10 3848480131
- ISBN 13 9783848480135
- BindingPaperback
- Number of pages64
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Survey on data mining techniques in intrusion detection: Information Security with Data Mining
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Book Description Taschenbuch. Condition: 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. Seller Inventory # 9783848480135
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Survey on data mining techniques in intrusion detection : Information Security with Data Mining
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Book Description Taschenbuch. Condition: 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. Seller Inventory # 9783848480135
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Survey on data mining techniques in intrusion detection Information Security with Data Mining
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Book Description Condition: 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. Seller Inventory # 5525825
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Survey on data mining techniques in intrusion detection: Information Security with Data Mining
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