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Mendeley readers
Chapter title |
Pruning Redundant Association Rules Using Maximum Entropy Principle
|
---|---|
Chapter number | 13 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Berlin, Heidelberg, May 2002
|
DOI | 10.1007/3-540-47887-6_13 |
Book ISBNs |
978-3-54-043704-8, 978-3-54-047887-4
|
Authors |
Szymon Jaroszewicz, Dan A. Simovici |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 5% |
Sri Lanka | 1 | 5% |
France | 1 | 5% |
Switzerland | 1 | 5% |
Unknown | 15 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 47% |
Researcher | 3 | 16% |
Student > Bachelor | 2 | 11% |
Student > Doctoral Student | 1 | 5% |
Student > Master | 1 | 5% |
Other | 3 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 63% |
Mathematics | 1 | 5% |
Business, Management and Accounting | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Physics and Astronomy | 1 | 5% |
Other | 2 | 11% |
Unknown | 1 | 5% |