Human Factors in Data Science

作者: Sihem Amer-Yahia

DOI: 10.1109/ICDE.2018.00009

关键词:

摘要: Data Science (DS) has been shifting from libraries and stacks to usage impact. While "database thinking" is permeating all levels in a DS stack, the lifecycle can only be fully realized by looping humans principled safe fashion. This paper focuses on role of user data DS. It starts with impact human factors design sustainable fair generation curation. then reviews how processing mining are being revisited derive insights data. That followed human-data interaction shapes way we think about evaluating applications. The ends opportunities that arise when bringing together database thinking for humans.

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