Related references
Note: Only part of the references are listed.A hybrid distributed batch-stream processing approach for anomaly detection
Boshra Pishgoo et al.
INFORMATION SCIENCES (2021)
Parallel mining of contextual outlier using sparse subspace
Xujun Zhao et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Recent Progress of Anomaly Detection
Xiaodan Xu et al.
COMPLEXITY (2019)
Dimension-based subspace search for outlier detection
Holger Trittenbach et al.
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS (2019)
Efficient Outlier Detection for High-Dimensional Data
Huawen Liu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)
A Comparison of Outlier Detection Techniques for High-Dimensional Data
Xiaodan Xu et al.
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS (2018)
Unsupervised Novelty Detection Using Deep Autoencoders with Density Based Clustering
Tsatsral Amarbayasgalan et al.
APPLIED SCIENCES-BASEL (2018)
Mixed integer linear programming and heuristic methods for feature selection in clustering
Stefano Benati et al.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2018)
LOMA: A local outlier mining algorithm based on attribute relevance analysis
Xujun Zhao et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Local Feature Selection for Data Classification
Narges Armanfard et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)
A relevant subspace based contextual outlier mining algorithm
Jifu Zhang et al.
KNOWLEDGE-BASED SYSTEMS (2016)
A survey on unsupervised outlier detection in high-dimensional numerical data
Arthur Zimek et al.
Statistical Analysis and Data Mining (2012)