Posted on: towardsdatascience.com, last accessed September 3, 2019.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Abstract: We discuss a little-known gem for data analytics — Benford’s law, which tells us about expected distribution of significant digits in a diverse set of naturally occurring datasets and how this can be used for anomaly or fraud detection in scientific or technical publications.
Bibtex:
@misc{,
author = {Tirthajyoti Sarkar},
year = {2018},
how published = {\url{https://towardsdatascience.com/what-is-benfords-law-and-why-is-it-important-for-data-science-312cb8b61048}},
note = {last accessed Sep 3, 2019},
}
Reference Type: E-Print
Subject Area(s): General Interest, Mathematics Education