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Mendeley readers
Chapter title |
Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets
|
---|---|
Chapter number | 50 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2015
|
DOI | 10.1007/978-3-319-18032-8_50 |
Book ISBNs |
978-3-31-918031-1, 978-3-31-918032-8
|
Authors |
Tayena Hendrickx, Boris Cule, Pieter Meysman, Stefan Naulaerts, Kris Laukens, Bart Goethals, Hendrickx, Tayena, Cule, Boris, Meysman, Pieter, Naulaerts, Stefan, Laukens, Kris, Goethals, Bart |
Mendeley readers
The data shown below were compiled from readership statistics for 597 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 1 | <1% |
Unknown | 596 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 114 | 19% |
Student > Bachelor | 84 | 14% |
Student > Ph. D. Student | 46 | 8% |
Student > Doctoral Student | 32 | 5% |
Researcher | 20 | 3% |
Other | 64 | 11% |
Unknown | 237 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 178 | 30% |
Engineering | 62 | 10% |
Business, Management and Accounting | 23 | 4% |
Social Sciences | 11 | 2% |
Psychology | 9 | 2% |
Other | 69 | 12% |
Unknown | 245 | 41% |