Insight into Data Preprocessing: Theory and Practice: Data Mining Perspective - Tapa blanda

Balamurugan S., Appavu; Christopher A.B., Arockia

 
9783848430628: Insight into Data Preprocessing: Theory and Practice: Data Mining Perspective
Tapa blanda
ISBN 10: 3848430622 ISBN 13: 9783848430628
Editorial: LAP LAMBERT Academic Publishing, 2012

Sinopsis

In real world datasets, lots of redundant and conflicting data exists. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting data). These arameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and accuracy of the classifiers. This process is called as the tuning of the dataset.Insight into Data pre-processing: Theory and Practice is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and industry people.Features-1.Provides in-depth, practical coverage of essential data preprocessing topics, including data cleaning, integration, transformation, reduction and discretization. 2.Addresses the method to deals with redundant and conflicting pattern.

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Reseña del editor

In real world datasets, lots of redundant and conflicting data exists. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting data). These arameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and accuracy of the classifiers. This process is called as the tuning of the dataset.Insight into Data pre-processing: Theory and Practice is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and industry people.Features-1.Provides in-depth, practical coverage of essential data preprocessing topics, including data cleaning, integration, transformation, reduction and discretization. 2.Addresses the method to deals with redundant and conflicting pattern.

Biografía del autor

Dr.S.A.Balamurugan,APIT,TCE,Madurai,India. He received his PhD in Data mining from Anna University,Chennai. His research has been supported by UGC,India. He is a member of IEEE and CSI. He has published more than 30 research papers in reputed journal including IEEE, ELSEVIER AND SPRINGER. His research interests include Data mining and Informatics.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3848430622
ISBN 13 
9783848430628
Encuadernación
Tapa blanda
Número de páginas
72
Contacto del fabricante
no disponible
Persona responsable
no disponible