- Research Assistant / PhD Student
- Institute of Information Systems
- Schedule for WS 19/20
- Systems Analysis and Design - Exercise course (Exercise) Breitinger
- Research Seminar BPM (MSc IS 15) (Seminar) Seidel, vom Brocke, Schenk, Grisold, Simons, Schneider, Breitinger, Laskov, Chandra Kruse
- Research Seminar Data Science (MSc IS 15 + 19) (Seminar) Seidel, Schneider, vom Brocke, Schenk, Grisold, Simons, Breitinger, Laskov, Chandra Kruse
- Deep Learning Applications in Enterprise Data Science
- PhD-Thesis, since September 2018
Deep Neural Networks (DNNs) are a powerful machine learning tool, loosely inspired by the structure of the human brain. Improvements in the field of DNNs, combined with an increase in computational ... more ...
- Data driven company valuation and IPO performance prediction
- FFF-Förderprojekt, April 2018 until March 2020 (finished)
An important part of every initial public offering (IPO) is an accurate valuation of the company planning to sell shares. Most established valuation methods only take hard financial facts into ... more ...
Article in Scientific Journal (1)
vom Brocke, J., Basalla, M., Kaiser, L. F., Schneider, J., Ragtschaa, S., Batliner-Staber, F., & Dzinic, E. (2018). Own - The Case of a Blockchain Business Model Disrupting the Equity Market. CONTROLLING – Zeitschrift für erfolgsorientierte Unternehmenssteuerung, 30(5), 23-29. (VHB_3: D)
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Paper in Conference Proceedings (1)
Schneider, J., Basalla, M., & Seidel, S. (2019). Principles of Green Data Mining. Paper presented at the Hawaii International Conference on System Sciences (HICSS), Hawaii, USA. (VHB_3: C)
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