This book has 101 Mendeley readers (combined total for all chapters).
Click here to see more details on the Mendeley website.
|Agricultural and Biological Sciences||4||4%|
|Business, Management and Accounting||4||4%|
|Economics, Econometrics and Finance||4||4%|
|Student > Master||37||37%|
|Student > Ph. D. Student||31||31%|
|Student > Bachelor||7||7%|
|Student > Postgraduate||5||5%|
The combined chapter downloads for this book are 25,085.
"This book is a comprehensive collection of data preprocessing techniques used in data mining. Any readers who practice data mining will find it beneficial … . This book is an excellent guideline in the topic of data preprocessing for data mining. It is suitable for both practitioners and researchers who would like to use datasets in their data mining projects."Xiannong Meng, Computing Reviews, December, 2014