Synthesizing Realistic Substitute Data for a Law Enforcement Database using a Python Library | Zendy

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Synthesizing Realistic Substitute Data for a Law Enforcement Database using a Python Library

Author(s) -

Anthony Carrola

Publication year - 2022

Language(s) - English

Resource type - Dissertations/theses

DOI - 10.33915/etd.11275

Subject(s) - computer science , python (programming language) , database , database administrator , software portability , enforcement , data administration , database model , data science , database design , programming language , law , political science

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