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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
23 Dimensions

Readers on

mendeley
37 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

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Sweden 1 3%
Germany 1 3%
Brazil 1 3%
Unknown 33 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 27%
Student > Ph. D. Student 9 24%
Student > Bachelor 5 14%
Researcher 3 8%
Student > Doctoral Student 3 8%
Other 5 14%
Unknown 2 5%
Readers by discipline Count As %
Computer Science 22 59%
Engineering 3 8%
Business, Management and Accounting 3 8%
Agricultural and Biological Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 2 5%
Unknown 3 8%