RETRACTED: A scheme for detecting outliers using sequential adjacency among entities (Retracted article. See DEC, 2022)

被引：1
|
作者：
Kathiresan, V. [1 ]
Vasanthi, N. A. [2 ]
机构：
[1] Coimbatore Inst Engn & Technol, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India
[2] Dr NGP Inst Technol, Dept Informat Technol, Coimbatore, Tamil Nadu, India
来源：
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / Suppl 6期
关键词：
Outlier extraction; Irregularities; Associations; Interferences and Sequential Adjacency Associations; MODEL;
D O I：
10.1007/s10586-017-1536-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：13177 / 13183
页数：7
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