PERFORMANCE ANALYSIS OF ANOMALOUS DETECTION SCEHMES BASED ON MODIFIED SUPPORT VECTOR MACHINE AND ENHANCED RELEVANCE VECTOR MACHINE

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...

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Bibliographic Details
Main Authors: S Senthil Kumar, S Mythili
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2021-04-01
Series:ICTACT Journal on Soft Computing
Subjects:
anomalous transaction
anomalous rules
accuracy
rpard
lr-iads
Online Access:https://ictactjournals.in/ArticleDetails.aspx?id=5673

Internet

https://ictactjournals.in/ArticleDetails.aspx?id=5673

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