RETRACTED ARTICLE: A scheme for detecting outliers using sequential adjacency among entities

被引：0
作者：
V. Kathiresan
N. A. Vasanthi
机构：
[1] Coimbatore Institute of Engineering and Technology,Department of Computer Science and Engineering
[2] Dr.N.G.P Institute of Technology,Department of Information Technology
来源：
Cluster Computing | 2019年 / 22卷
关键词：
Outlier extraction; Irregularities; Associations; Interferences and Sequential Adjacency Associations;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Presently the outlier extraction is broadly employed in applications such as communication, health care, finance and network-based interference identification. The use of this outlier extraction in network irregularity identification, occasionally happening assaults could be recognized. The intention is to design an outlier extraction scheme in terms of sequential adjacency associations. The evaluations are performed against the UCIML information set, KDD and real-time information sets. The analysis revealed that the outcomes are offering better outcomes than the prevailing schemes.
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页码：13177 / 13183
页数：6
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