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Mendeley readers
Chapter title |
Efficiently Mining Maximal Diverse Frequent Itemsets
|
---|---|
Chapter number | 12 |
Book title |
Database Systems for Advanced Applications
|
Published by |
Springer, Cham, April 2019
|
DOI | 10.1007/978-3-030-18579-4_12 |
Book ISBNs |
978-3-03-018578-7, 978-3-03-018579-4
|
Authors |
Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang, Wu, Dingming, Luo, Dexin, Jensen, Christian S., Huang, Joshua Zhexue |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 6% |
Unknown | 15 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 38% |
Student > Master | 3 | 19% |
Unspecified | 1 | 6% |
Professor | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Other | 2 | 13% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 75% |
Unspecified | 1 | 6% |
Physics and Astronomy | 1 | 6% |
Unknown | 2 | 13% |