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Mining Data Envelopment Analysis using Clustering Approach

for Heterogeneous Decision Making Units

Language EnglishEnglish
Book Paperback
Book Mining Data Envelopment Analysis using Clustering Approach Hassan Najadat
Libristo code: 06827462
Publishers VDM Verlag Dr. Müller, November 2008
This book integrates two important fields of information technology, data mining and data envelopmen... Full description
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This book integrates two important fields of information technology, data mining and data envelopment analysis (DEA), to provide a new tool for measuring the performance of decision making units (DMU). Many investigations have dealt with the DEA models, but few have focused on heterogeneous DMUs, outlier detection, and scalability over large data sets. In this book, a comprehensive model is presented. A constraint based clustering method is introduced for early detection of outliers to evaluate the performance scores of non homogeneous DMUs. The book includes the different preprocessing stages used in applying different approaches of data mining. Along with the theory, an extensive analysis in assessing the transportation system funding for school districts in the state of North Dakota is provided. This book is originally a Ph.D. dissertation at NDSU,Fargo, ND, USA.

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About the book

Full name Mining Data Envelopment Analysis using Clustering Approach
Language English
Binding Book - Paperback
Date of issue 2009
Number of pages 132
EAN 9783639193725
Libristo code 06827462
Weight 192
Dimensions 150 x 220 x 7
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