Results 231 to 240 of about 188,394 (267)
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A Review on Outlier/Anomaly Detection in Time Series Data
ACM Computing Surveys, 2022U Mori +2 more
exaly
Outlier detection algorithm based on k-nearest neighbors-local outlier factor
Journal of Algorithms and Computational Technology, 2022Peng Li, Feng Zhu, He Xu
exaly
A novel outlier detecting algorithm based on the outlier turning points
Expert Systems With Applications, 2023Huang Jinlong
exaly
2004
Real data and databases always contain some kind of heterogenity or contamination, which is called “outliers”. Outliers are defined as the few observations or records which appear to be inconsistent with the remainder group of the sample and more effective on prediction values.
openaire +2 more sources
Real data and databases always contain some kind of heterogenity or contamination, which is called “outliers”. Outliers are defined as the few observations or records which appear to be inconsistent with the remainder group of the sample and more effective on prediction values.
openaire +2 more sources
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
exaly