PERFORMANCE ANALYSIS OF ANOMALOUS DETECTION SCEHMES BASED ON MODIFIED SUPPORT VECTOR MACHINE AND ENHANCED RELEVANCE VECTOR MACHINE
Anomalous transactions are common activity happening on the financial oriented transaction. Detecting those anomalous transactions from the financial transaction patterns is the most complex task which is focused in this work. In the existing work it is achieved by introducing the method namely Fuzz...
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
ICT Academy of Tamil Nadu
2021-04-01
|
| Serie: | ICTACT Journal on Soft Computing |
| Soggetti: | |
| Accesso online: | https://ictactjournals.in/ArticleDetails.aspx?id=5673 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|