Theory-driven or process-driven prediction? Epistemological challenges of big data analytics
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-1115
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Theory-driven or process-driven prediction? Epistemological challenges of big data analytics ; volume:4 ; number:1 ; day:23 ; month:6 ; year:2017 ; pages:1-20 ; date:12.2017
Journal of Big Data ; 4, Heft 1 (23.6.2017), 1-20, 12.2017
- Urheber
-
Elragal, Ahmed
- Beteiligte Personen und Organisationen
-
Klischewski, Ralf
SpringerLink (Online service)
- DOI
-
10.1186/s40537-017-0079-2
- URN
-
urn:nbn:de:1111-201709138604
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
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
- Elragal, Ahmed
- Klischewski, Ralf
- SpringerLink (Online service)
Ähnliche Objekte (12)
Crisis analytics: big data-driven crisis response
EOS : an epistemological ontology-driven system for knowledge processing
EOS : an epistemological ontology-driven system for knowledge processing
Prescriptive analytics for data-driven capacity management
Prescriptive Analytics for Data-driven Capacity Management
Measure-Driven Visual Analytics of Categorical Data
Anomaly analytics in data-driven machine learning applications
Deep learning applications and challenges in big data analytics
Uncertainty in big data analytics: survey, opportunities, and challenges
Big data (quality) analytics : contributions to the assessment of data quality and data-driven decision-making
Big data analytics
Big data analytics
Crisis analytics: big data-driven crisis response
EOS : an epistemological ontology-driven system for knowledge processing
EOS : an epistemological ontology-driven system for knowledge processing
Prescriptive analytics for data-driven capacity management
Prescriptive Analytics for Data-driven Capacity Management
Measure-Driven Visual Analytics of Categorical Data
Anomaly analytics in data-driven machine learning applications
Deep learning applications and challenges in big data analytics
Uncertainty in big data analytics: survey, opportunities, and challenges
Big data (quality) analytics : contributions to the assessment of data quality and data-driven decision-making
Big data analytics
Big data analytics
Crisis analytics: big data-driven crisis response
EOS : an epistemological ontology-driven system for knowledge processing
EOS : an epistemological ontology-driven system for knowledge processing
Prescriptive analytics for data-driven capacity management
Prescriptive Analytics for Data-driven Capacity Management
Measure-Driven Visual Analytics of Categorical Data
Anomaly analytics in data-driven machine learning applications
Deep learning applications and challenges in big data analytics
Uncertainty in big data analytics: survey, opportunities, and challenges
Big data (quality) analytics : contributions to the assessment of data quality and data-driven decision-making
Big data analytics