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It’s all about Feature Engineering
Key part of any machine learning model.
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Outlier Detection
Understanding — “Using bayesian belief networks for credit card fraud detection”
Understanding — “Using bayesian belief networks for credit card fraud detection”
This is a decade old paper. I liked the idea of using “Minimum Description Length” to learn the Bayesian network structure. This paper is a…
Anil Kemisetti
Mar 20, 2018
Understanding — Solving the “false positives” problem in fraud Prediction.
Understanding — Solving the “false positives” problem in fraud Prediction.
The key idea of this paper ( Original Paper https://arxiv.org/abs/1710.07709 ) is to use a technique called “Deep Feature Synthesis.” Pg[1]
Anil Kemisetti
Mar 18, 2018
Understanding — Credit card transaction fraud feature extraction using “Parenclitic Networks”
Understanding — Credit card transaction fraud feature extraction using “Parenclitic Networks”
“Parenclitic Network” What is it ? How does it help in Outlier Detection?
Anil Kemisetti
Mar 10, 2018
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