This book has 112 Mendeley readers (combined total for all chapters).
Click here to see more details on the Mendeley website.
|Agricultural and Biological Sciences||8||7%|
|Economics, Econometrics and Finance||6||5%|
|Business, Management and Accounting||4||4%|
|Student > Master||38||34%|
|Student > Ph. D. Student||32||29%|
|Student > Bachelor||9||8%|
The combined chapter downloads for this book are 23,503.
Reviewed by: Xiannong Meng, Computing Reviews, December, 2014
"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
Bookmetrix retrieves book and chapter metadata from Springer Nature, Altmetric and CrossRef, and then aggregates the associated book and chapter metrics from a variety of data sources. Read more