- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Konstanz, Universität Konstanz, Masterarbeit, 2013
- Klassifikation
-
Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
Konstanz
- (wer)
-
Bibliothek der Universität Konstanz
- (wann)
-
2014
- Urheber
-
Sampson, Oliver
- URN
-
urn:nbn:de:bsz:352-264633
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:51 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Sampson, Oliver
- Bibliothek der Universität Konstanz
Entstanden
- 2014
Ähnliche Objekte (12)
Large scale parallel data mining
Parallel data mining revisited : better, not faster
Forward-Looking Process Mining : Data-Driven Simulation
Scaling data mining in massively parallel dataflow systems
Parallel and Distributed Databases, Data Mining and Knowledge Discovery
Diversity-driven widening
Quality driven database mining
Cable-driven parallel robots
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining
Understanding Process Mining for Data-Driven Optimization of Order Processing
Revenue forecasting in the mining industries: A data-driven approach
Machine learning driven argument mining
Large scale parallel data mining
Parallel data mining revisited : better, not faster
Forward-Looking Process Mining : Data-Driven Simulation
Scaling data mining in massively parallel dataflow systems
Parallel and Distributed Databases, Data Mining and Knowledge Discovery
Diversity-driven widening
Quality driven database mining
Cable-driven parallel robots
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining
Understanding Process Mining for Data-Driven Optimization of Order Processing
Revenue forecasting in the mining industries: A data-driven approach
Machine learning driven argument mining
Large scale parallel data mining
Parallel data mining revisited : better, not faster
Forward-Looking Process Mining : Data-Driven Simulation
Scaling data mining in massively parallel dataflow systems
Parallel and Distributed Databases, Data Mining and Knowledge Discovery
Diversity-driven widening
Quality driven database mining
Cable-driven parallel robots
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining
Understanding Process Mining for Data-Driven Optimization of Order Processing
Revenue forecasting in the mining industries: A data-driven approach