Patent · US Active

Probabilistic feature engineering technique for anomaly detection

US11562372B2 · kind B2 · utility

0Cited by

2References

14Claims

0Family size

Assignee

Actimize Ltd. · IL

Inventors

Debabrata PATI · Pune, IN
Akshaykumar Bhausaheb Tilekar · Ahmednagar, IN
Shevale Ashish Suhas · Pune, IN

Key dates

Filing date	Jun 4, 2020
Grant date	Jan 24, 2023
Priority date	—
Expiry date	Oct 9, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06Q50/265
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A computerized-method for generating a dataset for a Machine Learning (ML) model for an increased accurate financial crime detection from an initiation stage of the ML model implementation. The computerized-method includes: retrieval of financial transaction records from a database of financial transaction records to arrange a dataset of financial transaction records, according to preconfigured techniques. Then, processing the records in the dataset; Then, operating feature engineering on preselected anomalous related features to yield probabilistic categorical features and to yield probabilistic numerical features, and then combining the probabilistic categorical features with the probabilistic numerical features to generate a complex features dataset, and providing the probabilistic categorical features, the probabilistic numerical features and the complex features dataset to an ML model, thus, increasing accuracy of detection that is performed right from an initiation stage of the ML model implementation.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.