I was curious about the possible Machine Learning methods or approaches for outlier (anomaly) detection in labor economics.
I tried to search for this matter, but could not find any pertinent research to this problem. It would be a pleasure if anyone knows any scientific thesis, paper or survey about anomaly detection in labor economics.
Best.
An interesting manuscript recounting the economic impact of the COVID-19 pandemic, especially in low- and middle-income countries are described in the following manuscript, greetings
Article Economy or Health, Constant Dilemma in Times of Pandemic: Th...
can refer to
A machine learning approach to outlier detection and imputation of missing data by Nicola Benatti, European Central Bank
Dear Prof. Naghavi,
I am providing reference to two of my papers based on fuzzy techniques for outlier detection.
Vasudev Sharma, Abhinav Nagpal and B. K. Tripathy: A Fuzzy Constraint Based Outlier Detection Method. In: Huang DS., Huang ZK., Hussain A. (Eds) Intelligent Computing Methodologies. ICIC 2019, Lecture Notes in Computer Science, vol. 11645. (2019), Springer, Cham, pp. 515-527.
Vasudev Sharma and B. K. Tripathy: High Dimensional Fuzzy Outlier Detection, ICONIP2019 Proceedings, (2019), pp.45-55
Hopefully the techniques will be useful to you.
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