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Mendeley readers
Chapter title |
Mining High Utility Itemsets in Big Data
|
---|---|
Chapter number | 51 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2015
|
DOI | 10.1007/978-3-319-18032-8_51 |
Book ISBNs |
978-3-31-918031-1, 978-3-31-918032-8
|
Authors |
Ying Chun Lin, Cheng-Wei Wu, Vincent S. Tseng, Lin, Ying Chun, Wu, Cheng-Wei, Tseng, Vincent S. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 22% |
Researcher | 4 | 17% |
Student > Ph. D. Student | 3 | 13% |
Student > Doctoral Student | 2 | 9% |
Professor > Associate Professor | 2 | 9% |
Other | 3 | 13% |
Unknown | 4 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 65% |
Engineering | 2 | 9% |
Social Sciences | 1 | 4% |
Philosophy | 1 | 4% |
Unknown | 4 | 17% |