You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining
|
---|---|
Chapter number | 48 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, April 2009
|
DOI | 10.1007/978-3-642-01307-2_48 |
Book ISBNs |
978-3-64-201306-5, 978-3-64-201307-2
|
Authors |
Murat Kantarcioglu, Robert Nix, Jaideep Vaidya |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Slovenia | 1 | 6% |
Unknown | 16 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 24% |
Student > Ph. D. Student | 3 | 18% |
Student > Master | 3 | 18% |
Student > Postgraduate | 2 | 12% |
Lecturer | 1 | 6% |
Other | 2 | 12% |
Unknown | 2 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 76% |
Engineering | 2 | 12% |
Mathematics | 1 | 6% |
Unknown | 1 | 6% |