Deutschenglish

Daniel Gunnar Staegemann

 Daniel Gunnar Staegemann
Tätigkeitsbezeichnung:
Wissenschaftler
Organisation:
AGWI
Telefon:
+49 391 67-52869
Büro:
G29 - 121

Events

15.08.2019

Neuigkeiten

Die neue Cloud Lehrveranstaltung – Cloud DevOps Techniken

Die neue Cloud Lehrveranstaltung – Cloud DevOps Techniken

MRCC auf der 25th Americas Conference on Information Systems

MRCC auf der 25th Americas Conference on Information Systems

MRCC auf der 15th International Conference on Signal Image Technology & Internet based Systems

MRCC auf der 15th International Conference on Signal Image Technology & Internet based Systems

Wissenschaftliche Artikel

2020
Haertel, C.; Pohl, M.; Bosse, S.; Nahhas, A.; Staegemann, D. G.; Volk, M.; Turowski, K.
Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models
In: Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB,; 80-90; 2020;
Häusler, R.; Staegemann, D. G.; Volk, M.; Bosse, S.; Turowski, K.
Generating Content-Compliant Training Data in Big Data Education
In: Proceedings of the 12th International Conference on Computer Supported Education; 104-110; 2020;
Staegemann, D. G.; Volk, M.; Hintsch, J.; Häusler, R.; Bosse, S.; Nahhas, A.; Pohl, M.; Turowski, K.
Classifying Big Data Taxonomies: A Systematic Literature Review
In: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security; 267-278; 2020;
Staegemann, D. G.; Volk, M.; Bosse, S.; Häusler, R.; Nahhas, A.; Turowski, K.
Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis
In: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; 453-460; 2020;
Volk, M.; Staegemann, D. G.; Jamous, N.; Pohl, M.; Turowski, K.
Providing Clarity on Big Data Technologies - The BDTOnto Ontology
In: International Journal of Intelligent Information Technologies; 49-73; 2020;
Volk, M.; Staegemann, D. G.; Nahhas, A.; Bosse, S.
Towards a Decision Support System for Big Data Projects
In: WI2020; 2020;
Volk, M.; Staegemann, D. G.; Jamous, N.; Pohl, M.; Turowski, K.
Providing Clarity on Big Data Technologies: The BDTOnto Ontology
In: International Journal of Intelligent Information Technologies; 16; 49-73; 2020;
Volk, M.; Turowski, K.; Staegemann, D. G.; Bosse, S.
Approaching the (Big) Data Science Engineering Process
In: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,; 428-435; 2020;
Volk, M.; Staegemann, D. G.; Trifonova, I.; Bosse, S.; Turowski, K.
Identifying Similarities of Big Data Projects–A Use Case Driven Approach
In: IEEE (Hrsg.): IEEE Access ( Volume: 8); 186599 - 186619; IEEE; 2020;
2019
Nahhas, A.; Bosse, S.; Staegemann, D. G.; Volk, M.; Turowski, K.
A holistic view of the server consolidation and virtual machines placement problems
In: 15th International Conference on Signal Image Technology & Internet based Systems, SITIS 2019; Sorrento, Italy; 2019;
Staegemann, D. G.; Volk, M.; Jamous, N.; Turowski, K.
Understanding Issues in Big Data Applications - A Multidimensional Endeavor.
In: 25th Americas Conference on Information Systems, AMCIS 2019, Cancun, Mexico, August 15-17, 2019; 2019;
Staegemann, D. G.; Volk, M.; Nahhas, A.; Abdallah, M.; Turowski, K.
Exploring the Specificities and Challenges of Testing Big Data Systems
In: 15th International Conference on Signal Image Technology & Internet based Systems; 2019;
Staegemann, D. G.; Hintsch, J.; Turowski, K.
Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications
In: 14th International Conference on Wirtschaftsinformatik; 2019;
Staegemann, D. G.; Volk, M.; Turowski, K.
Mobile Procurement Management
In: Handbuch Digitale Wirtschaft; 1-15; Springer; 2019;
Volk, M.; Staegemann, D. G.; Pohl, M.; Turowski, K.
Challenging Big Data Engineering: Positioning of Current and Future Development
In: Proceedings of the 4th International Conference on Internet of Things, Big Data and Security; 257-268; 2019;
Staegemann, D. G.; Volk, M.; Lucht, C.; Klie, C.; Hintze, M.; Turowski, K.
An Inventory-Based Mobile Application for Warehouse Management to Digitize Very Small Enterprises
In: Proceedings of the 22nd International Conference on Business Information Systems; 2019;