Data Preprocessing in Data Mining - 2015

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Crossref Citations Summary

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Crossref Citations by Chapter

Online mention summary

Online mention summary
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Mendeley readership by country

This book has 119 Mendeley readers (combined total for all chapters).
Click here to see more details on the Mendeley website.

Country %
Brazil 6 5%
Italy 4 3%
Spain 3 3%
France 3 3%
Germany 1 1%
United Kingdom 1 1%
Colombia 1 1%
Unknown 100 84%

Mendeley readership by discipline

Discipline %
Computer Science 62 52%
Engineering 22 18%
Agricultural and Biological Sciences 8 7%
Unspecified 6 5%
Mathematics 4 3%
Other 17 14%

Mendeley readership by professional status

Professional status %
Student > Master 45 38%
Student > Ph. D. Student 32 27%
Researcher 11 9%
Student > Postgraduate 8 7%
Student > Bachelor 7 6%
Other 16 13%

SpringerLink Download summary


  • "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