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Soft Computing for Data Mining Applications

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

blogs
1 blog

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Soft Computing for Data Mining Applications
Published by
Springer Berlin Heidelberg, February 2009
DOI 10.1007/978-3-642-00193-2
ISBNs
978-3-64-200192-5, 978-3-64-200193-2
Authors

Venugopal, K. R., Srinivasa, K. G., Patnaik, L. M.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Sweden 1 2%
Germany 1 2%
Brazil 1 2%
Unknown 40 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 23%
Student > Ph. D. Student 9 20%
Student > Bachelor 5 11%
Student > Doctoral Student 3 7%
Professor 3 7%
Other 6 14%
Unknown 8 18%
Readers by discipline Count As %
Computer Science 23 52%
Business, Management and Accounting 3 7%
Engineering 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Agricultural and Biological Sciences 2 5%
Other 3 7%
Unknown 8 18%