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Frugal Data Science
DOI:10.1007/978-3-032-08614-3_9.png)
Abstract
En 中文
This paper introduces the concept of frugal data science as a topic of data science and lays its functional principles. Frugal data science is an extension of frugal science, which aims at simple, low-cost, yet efficient, and effective solutions into the field of data science. The state of the discipline of data science calls for such a concept of frugality, due to many barriers, limitations, and challenges encountered in real-world data science projects. To this end, the paper illustrates with three case studies how such limitations can be overcome through the introduced concept of frugal data science.
Keywords:
Frugal data science
Frugal science
Data science
Data analytics
Project management
Agile project management
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Papers:
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