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Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848480131ISBN 13: 9783848480135
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3848480131ISBN 13: 9783848480135
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by LAP Lambert Academic Publishing 2012-04, 2012
ISBN 10: 3848480131ISBN 13: 9783848480135
Seller: Chiron Media, Wallingford, United Kingdom
Book
PF. Condition: New.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848480131ISBN 13: 9783848480135
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848480131ISBN 13: 9783848480135
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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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.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848480131ISBN 13: 9783848480135
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book Print on Demand
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.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848480131ISBN 13: 9783848480135
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Book Print on Demand
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848480131ISBN 13: 9783848480135
Seller: moluna, Greven, Germany
Book Print on Demand
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.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848480131ISBN 13: 9783848480135
Seller: dsmbooks, Liverpool, United Kingdom
Book
paperback. Condition: New. New. book.