- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
AGIPEB Working Paper ; 6
- Classification
-
Wirtschaft
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2017
- Creator
-
Baron, Daniel
Krüger, Christina
- URN
-
urn:nbn:de:0168-ssoar-53413-4
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Baron, Daniel
- Krüger, Christina
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2017
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Management of Event History Data and Episode Splitting Using the AGIPEB-Dataset
Splitting algorithm for nested events
Automated Construction of a Photocatalysis Dataset for Water-Splitting Applications
Consistent splitting of event streams in parallel complex event processing
An Episode in Burmese History.
Automatic splitting in data-parallel complex event processing systems
"Natural history": die Konstruktion von Episoden
"Natural history": die Konstruktion von Episoden
Incorporating history and deviations in forward–backward splitting
Transient dataset of household appliances with Intensive switching events
Splitting 'airs
Splitting Orders
Management of Event History Data and Episode Splitting Using the AGIPEB-Dataset
Splitting algorithm for nested events
Automated Construction of a Photocatalysis Dataset for Water-Splitting Applications
Consistent splitting of event streams in parallel complex event processing
An Episode in Burmese History.
Automatic splitting in data-parallel complex event processing systems
"Natural history": die Konstruktion von Episoden
"Natural history": die Konstruktion von Episoden
Incorporating history and deviations in forward–backward splitting
Transient dataset of household appliances with Intensive switching events
Splitting 'airs