Incremental anomaly detection using two-layer cluster-based structure

Elnaz Bigdeli; Mahdi Mohammadi; Bijan Raahemi; Stan Matwin

doi:10.1016/j.ins.2017.11.023

Incremental anomaly detection using two-layer cluster-based structure

Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin

Engineering

科研成果: 期刊稿件 › 文章 › 同行评审

32 引用（Scopus）

源语言	英语
页（从-至）	315-331
页数	17
期刊	Information Sciences
卷	429
DOI	https://doi.org/10.1016/j.ins.2017.11.023
出版状态	已出版 - 3月 2018

!!!ASJC Scopus Subject Areas

软件
信息系统与管理
人工智能
理论计算机科学
控制与系统工程
计算机科学应用

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10.1016/j.ins.2017.11.023

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title = "Incremental anomaly detection using two-layer cluster-based structure",

keywords = "Anomaly detection, Gaussian mixture model, Incremental clustering, Noise resilience",

author = "Elnaz Bigdeli and Mahdi Mohammadi and Bijan Raahemi and Stan Matwin",

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year = "2018",

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doi = "10.1016/j.ins.2017.11.023",

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AU - Mohammadi, Mahdi

AU - Raahemi, Bijan

AU - Matwin, Stan

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KW - Anomaly detection

KW - Gaussian mixture model

KW - Incremental clustering

KW - Noise resilience

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VL - 429

SP - 315

EP - 331

JO - Information Sciences

JF - Information Sciences

ER -

Incremental anomaly detection using two-layer cluster-based structure

!!!ASJC Scopus Subject Areas

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