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Mendeley readers
Chapter title |
Adaptive Database Intrusion Detection Using Evolutionary Reinforcement Learning
|
---|---|
Chapter number | 53 |
Book title |
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-67180-2_53 |
Book ISBNs |
978-3-31-967179-6, 978-3-31-967180-2
|
Authors |
Seul-Gi Choi, Sung-Bae Cho, Choi, Seul-Gi, Cho, Sung-Bae |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 29% |
Student > Bachelor | 3 | 21% |
Student > Doctoral Student | 2 | 14% |
Researcher | 2 | 14% |
Professor > Associate Professor | 1 | 7% |
Other | 0 | 0% |
Unknown | 2 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 71% |
Decision Sciences | 1 | 7% |
Engineering | 1 | 7% |
Unknown | 2 | 14% |