Reuse, Reduce, Support: Design Principles for Green Data Mining

Authors

Johannes Schneider, University of LiechtensteinFollow
Stefan Seidel, University of LiechtensteinFollow
Marcus Basalla, University of LiechtensteinFollow
Jan vom Brocke, University of LiechtensteinFollow

Document Type

Research Paper

Abstract

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.

Recommended Citation

Schneider, Johannes; Seidel, Stefan; Basalla, Marcus; and vom Brocke, Jan (2023) "Reuse, Reduce, Support: Design Principles for Green Data Mining," Business & Information Systems Engineering: Vol. 65: Iss. 1, 65-83.
Available at: https://aisel.aisnet.org/bise/vol65/iss1/5