Overview
We are now living in an “algorithm society.” Indeed, algorithms have become ubiquitous, running behind the scenes everywhere for various purposes, from recommending movies to optimizing autonomous vehicle routing to detecting fraudulent financial transactions. Nevertheless, algorithms are far from new. The idea of an algorithm, referring generally to a set of rules to follow for solving a problem or achieving a goal, goes back thousands of years. However, the use of algorithms has exploded in recent years for a couple of interrelated reasons:
- 1.
Advancements in computational and information processing technologies have made it easier to develop, codify, implement, and execute algorithms.
- 2.
Open-source digital platforms and crowdsourcing projects enable algorithmic code to be shared and disseminated to a large audience.
- 3.
The complexities and nuances of big data create unique computational and analytical challenges, which demand algorithms.
Algorithms used for big data...
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Schintler, L.A., Lee, J. (2022). Algorithm. In: Schintler, L.A., McNeely, C.L. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32010-6_2
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DOI: https://doi.org/10.1007/978-3-319-32010-6_2
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