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oislen/randomtelecompayments

By oislen

Updated about 13 hours ago

An application for randomly generating telecommunication payment data.

Image
Machine learning & AI
Data science
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2.2K

oislen/randomtelecompayments repository overview

Randomly simulated data is particularly useful when it's real world counterpart is hard access due to complexity, privacy and security reasons. Moreover, randomly simulated data has additional benefits including reproducibility, scalability and controllability.

This application aims to simulate telecommunication payments using random number generation. It includes typical transaction level relationships and behaviours amongst the user, device, ip, and card entities. It can be used in place of real world telecommunication payments for prototyping solutions and as an education tool.

The data generation algorithm works by first generating user level telecom payments data. Afterwards, the user level data is exploded to transaction level, and any inconsistencies within the data model are removed. Finally, the transaction status and error codes are generated using underlying features within the transaction level data.

Tag summary

Content type

Image

Digest

sha256:f1af5605e

Size

381 MB

Last updated

about 13 hours ago

docker pull oislen/randomtelecompayments