Insight into Data Preprocessing: Theory and Practice: Data Mining Perspective - Softcover

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

Softcover

ISBN 10: 3848430622 ISBN 13: 9783848430628

Publisher: LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

About this title

About the Author

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.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2012
• ISBN 10: 3848430622
• ISBN 13: 9783848430628
• Binding: Paperback
• Language: English
• Number of pages: 72