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Classification of data mining techniques in intrusion detection

por Mishra, Gaurav
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34,51 €
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Mishra, Gaurav Classification of data mining techniques in intrusion detection
Mishra, Gaurav - Classification of data mining techniques in intrusion detection

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Entrega: entre lunes, 6 de junio de 2022 y miércoles, 8 de junio de 2022
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Entrega: entre lunes, 6 de junio de 2022 y miércoles, 8 de junio de 2022
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Descripción

Data mining is the process of gathering, searching, and analyzing a large amount of raw data, as to discover patterns, relationships and behavior of data. There are large numbers of algorithms for classification of data mining. Single algorithm is not efficient for classification of data and recognize their pattern and behavior .There is a key term known as ensemble learning which means Combining two or more classifiers for efficient result. I have used the KDD'99 dataset for the experiment which have 41 features labeled either as normal or as an attack. In this book I have represented how graphical machine learning 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 and Boosting ensemble learning approach which are complementary naïve 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 naïve Bayes. However, the rule based classifiers become more efficient with bagging and boosting techniques.

Colaboradores

Autor:
Mishra, Gaurav
Ahuja, Gulshan

Detalles de producto

Biografía del artista:
Gaurav Mishra is born in India and has received His Bachelor's degree in Computer Science & Engg.From Malout Institute of Management & Information Technology, Malout India. His areas of interest are Network Security, Java programming & Data Mining.
Idioma:
Inglés
Edición:
1/2013
Número de páginas:
52
Tipo de medio:
Tapa blanda
Editorial:
LAP Lambert Academic Publishing

Datos base

Tipo de producto:
Libro de bolsillo
Fecha de aparición:
12 de agosto de 2013
Dimensiones del paquete:
0.22 x 0.15 x 0.003 m; 0.127 kg
GTIN:
09783659442155
DUIN:
EDBE4K588NR
34,51 €
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