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Mendeley readers
Chapter title |
Mining Top-K Sequential Rules
|
---|---|
Chapter number | 14 |
Book title |
Advanced Data Mining and Applications
|
Published by |
Springer, Berlin, Heidelberg, December 2011
|
DOI | 10.1007/978-3-642-25856-5_14 |
Book ISBNs |
978-3-64-225855-8, 978-3-64-225856-5
|
Authors |
Philippe Fournier-Viger, Vincent S. Tseng |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 3% |
Unknown | 28 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 21% |
Researcher | 5 | 17% |
Professor > Associate Professor | 3 | 10% |
Student > Ph. D. Student | 3 | 10% |
Student > Doctoral Student | 2 | 7% |
Other | 3 | 10% |
Unknown | 7 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 55% |
Arts and Humanities | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 1 | 3% |
Unknown | 8 | 28% |