Green Data Science: Using Big Data in an ``Environmentally Friendly'' Manner
{. Aalst. Proceedings of the 18th International Conference
on Enterprise Information Systems (ICEIS 2016), Seite 9--21. Science and Technology Publications, Portugal, (2016)
Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.
Zitieren Sie diese Publikation
Mehr Zitationsstile
- bitte auswählen -
%0 Conference Paper
%1 wil_keynote_iceis_2016
%A Aalst, W.M.P. van der
%B Proceedings of the 18th International Conference
on Enterprise Information Systems (ICEIS 2016)
%D 2016
%E Camp, O.
%E Cordeiro, J.
%I Science and Technology Publications, Portugal
%K imported
%P 9--21
%T Green Data Science: Using Big Data in an ``Environmentally Friendly'' Manner
@inproceedings{wil_keynote_iceis_2016,
added-at = {2020-01-07T14:01:33.000+0100},
author = {Aalst, {W.M.P. van der}},
biburl = {https://www.bibsonomy.org/bibtex/254fa542cacfe91e46444758e5d5662e3/wvdaalst},
booktitle = {Proceedings of the 18th International Conference
on Enterprise Information Systems (ICEIS 2016)},
editor = {Camp, O. and Cordeiro, J.},
interhash = {e42f4daf77eb26e4ba4f4c776c0adff5},
intrahash = {54fa542cacfe91e46444758e5d5662e3},
keywords = {imported},
pages = {9--21},
publisher = {Science and Technology Publications, Portugal},
timestamp = {2020-01-07T14:02:12.000+0100},
title = {{Green Data Science: Using Big Data in an ``Environmentally Friendly'' Manner}},
year = 2016
}