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A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Big Data and Cognitive Computing, 2021Raed Alsini +2 more
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2009
Knowledge discovery in databases (KDD) is a nontrivial process of detecting valid, novel, potentially useful and ultimately understandable patterns in data (Fayyad, Piatetsky-Shapiro, Smyth & Uthurusamy, 1996). In general KDD tasks can be classified into four categories i) Dependency detection, ii) Class identification, iii) Class description and ...
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Knowledge discovery in databases (KDD) is a nontrivial process of detecting valid, novel, potentially useful and ultimately understandable patterns in data (Fayyad, Piatetsky-Shapiro, Smyth & Uthurusamy, 1996). In general KDD tasks can be classified into four categories i) Dependency detection, ii) Class identification, iii) Class description and ...
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A novel outlier detection approach based on formal concept analysis
Knowledge-Based Systems, 2023Qian Hu, Zhong Yuan, Keyun Qin
exaly
Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data
IEEE Transactions on Cybernetics, 2022Tianrui Li, Hongmei Chen, Zhong Yuan
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Outliers—Part 2:Pitfalls in Detecting Outliers
2018Howard Mark, Jerry Workman
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A Survey of Outlier Detection Techniques in IoT: Review and Classification
Journal of Sensor and Actuator Networks, 2022Ismail Bennis +2 more
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Outlier Detection Techniques for Wireless Sensor Networks: A Survey
IEEE Communications Surveys and Tutorials, 2010Nirvana Meratnia, Paul J M Havinga
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A novel outlier cluster detection algorithm without top-n parameter
Knowledge-Based Systems, 2017Quanwang Wu, Qingsheng Zhu
exaly