(mobo import Concept___Events-migrated) |
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|In Event Series=Event Series:F05dfe5e-d108-4c11-a4e7-95a0276d2f0e | |In Event Series=Event Series:F05dfe5e-d108-4c11-a4e7-95a0276d2f0e | ||
|Single Day Event=yes | |Single Day Event=yes | ||
| − | |Start Date=2020/06/ | + | |Start Date=2020/06/14 |
|Event Status=as scheduled | |Event Status=as scheduled | ||
|Event Mode=on site | |Event Mode=on site | ||
| + | |Venue=DoubleTree | ||
| + | |City=Portland | ||
| + | |Region=Oregon | ||
| + | |Country=Country:US | ||
| + | |Academic Field=Data Management; Machine Learning | ||
| + | |Official Website=http://deem-workshop.org/2020/index.html | ||
| + | |DOI=10.25798/0bsf-q395 | ||
}} | }} | ||
{{Event Deadline}} | {{Event Deadline}} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=Special Interest Group on Management of Data, Association for Computing Machinery | ||
| + | }} | ||
| + | {{Event Metric}} | ||
{{S Event}} | {{S Event}} | ||
Latest revision as of 08:41, 31 July 2023
Deadlines
Metrics
Venue
DoubleTree, Portland, Oregon, United States of America
