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Author/Affiliation: P Deepa ShenoyEKMC: Ensemble of kNN using MetaCost for Efficient Anomaly Detection
Advances in Science, Technology and Engineering Systems Journal,
Volume 4,
Issue 5,
Page # 401–408,
2019;
DOI: 10.25046/aj040552
Abstract:
Anomaly detection aims at identification of suspicious items, observations or events by differing from most of the data. Intrusion Detection, Fault Detection, and Fraud Detection are some of the various applications of Anomaly Detection. The Machine learning classifier algorithms used in these applications would greatly affect the overall efficiency. This work is an extension of…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
