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Mendeley readers
Chapter title |
Mining Locally Trending High Utility Itemsets
|
---|---|
Chapter number | 8 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2020
|
DOI | 10.1007/978-3-030-47436-2_8 |
Book ISBNs |
978-3-03-047435-5, 978-3-03-047436-2
|
Authors |
Philippe Fournier-Viger, Yanjun Yang, Jerry Chun-Wei Lin, Jaroslav Frnda, Fournier-Viger, Philippe, Yang, Yanjun, Lin, Jerry Chun-Wei, Frnda, Jaroslav |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 21% |
Student > Master | 4 | 14% |
Other | 2 | 7% |
Lecturer | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 4 | 14% |
Unknown | 10 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 36% |
Engineering | 2 | 7% |
Environmental Science | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Other | 3 | 11% |
Unknown | 10 | 36% |