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Reuse, Reduce, Support: Design Principles for Green Data Mining
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DOI：10.1007/s12599-022-00780-w.png)
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Abstract
En 中文
This paper reports on a design science research (DSR) study that develops design principles for green - more environmentally sustainable - data mining processes. Grounded in the Cross Industry Standard Process for Data Mining (CRISP-DM) and on a review of relevant literature on data mining methods, Green IT, and Green IS, the study identifies eight design principles that fall into the three categories of reuse, reduce, and support. The paper develops an evaluation strategy and provides empirical evidence for the principles' utility. It suggests that the results can inform the development of a more general approach towards Green Data Science and provide a suitable lens to study sustainable computing.
Keywords:
Green Data Science
Green IT
Green IS
Data mining
Energy efficiency
Energy-saving
Design science research
Design principles
Journal
IF:
10.4
Papers:
862
Citations:
4.0K
