Articoli correlati a Ensemble Classifier in Data Mining: Performance Enhancement...

Ensemble Classifier in Data Mining: Performance Enhancement of Classification using Boosting Approach on Noisy Data - Brossura

Vaghela, Vimalkumar Bhupatbhai; Vandra, Kalpesh H.; Modi, Nilesh K.

 
9783659114946: Ensemble Classifier in Data Mining: Performance Enhancement of Classification using Boosting Approach on Noisy Data
Brossura
ISBN 10: 3659114944 ISBN 13: 9783659114946
Casa editrice: LAP LAMBERT Academic Publishing, 2012

Sinossi

The generalization ability of an ensemble is usually significantly better than that of a single learner, so ensemble methods are very attractive. Authors: Dr. Kalpesh H Vandra is Director Academic and Head in CE/IT department at C. U. Shah College of Engineering, Wadhwan, Guajrat, India. Well known for his research in the areas of Data Mining and Mobile Computing. He had written more than 10 Books related to Computer & IT related area. He is Section Managing Committee Member of ISTE Gujarat Section, Life member of ISTE, member of IEEE and CSI. Dr. Nilesh K Modi is Professor & Head in Computer Science Department in Sarva Vidyalaya’s Institute of Computer Studied, S V Campus, Kadi, Gujarat, India. Well known for his research in the areas of Data Mining and Network Security. He is Associate Life Member in Computer Society of India (CSI) Mumbai, Senior Associate Member in International Association of Computer Science and Information Technology (IACSIT) Singapore, Senior Member in International Association of Engineers (IAEng) Hong Kong, Senior Member in Computer Security Institute New York.

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L'autore

Prof. Vimalkumar Bhupatbhai Vaghela, is currently doing Ph.D. in Computer Science & Engineering at Karpagam University, India. He is currently working as Assistant Professor in Computer Engineering Department at L. D. College of Engineering, Gujarat, India. His research areas are Relational Data Mining, Ensemble Classifier, Pattern Mining.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2012
Lingua
Inglese
ISBN 10 
3659114944
ISBN 13 
9783659114946
Rilegatura
Copertina flessibile
Numero di pagine
160
Contatto del produttore
non disponibile
Persona responsabile
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