You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Principal Component-based Anomaly Detection Scheme
|
---|---|
Chapter number | 18 |
Book title |
Foundations and Novel Approaches in Data Mining
|
Published by |
Springer, Berlin, Heidelberg
|
DOI | 10.1007/11539827_18 |
Book ISBNs |
978-3-54-028315-7, 978-3-54-031229-1
|
Authors |
Mei-Ling Shyu, Shu-Ching Chen, Kanoksri Sarinnapakorn, LiWu Chang, Shyu, Mei-Ling, Chen, Shu-Ching, Sarinnapakorn, Kanoksri, Chang, LiWu |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 13% |
Unknown | 7 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 38% |
Researcher | 3 | 38% |
Student > Bachelor | 1 | 13% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 2 | 25% |
Computer Science | 2 | 25% |
Engineering | 2 | 25% |
Psychology | 1 | 13% |
Unknown | 1 | 13% |