
Performance Analysis of Data Mining Classification Techniques
Performance Analysis of Various Data Mining Classification Techniques on Healthcare Data
Shelly Gupta(Author)
LAP Lambert Academic Publishing
Published on 20. March 2012
Book
Paperback/Softback
76 pages
978-3-8484-3875-4 (ISBN)
Description
The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate.
More details
Language
English
Place of publication
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 6 mm
Weight
131 gr
ISBN-13
978-3-8484-3875-4 (9783848438754)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Shelly Gupta has done B.Tech. in IT from GJUS&T, India in 2009 & M.Tech. in CSE from Banasthali University, India in 2011. She has published 3 research papers at National /Intl level with 1 yr exp. in research. Her interests are in Data Mining & Software Engg. She is also a member of CSI (Computer Society of India). She is now working as lecturer.