Detecting Extreme Rank Anomalous Collections
Anomaly or outlier detection has a wide range of applications, including fraud and spam detection. Most existing studies focus on detecting point anomalies, i.e., individual, isolated entities. However, there is an increasing number of applications in which anomalies do not occur individually, but i...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2012
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2870 https://ink.library.smu.edu.sg/context/sis_research/article/3870/viewcontent/ERAC_SDM_cr.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |