Requirements for Machine Learning Process Software Tooling
Leidner, Jochen L.; Reiche, Michael (2024)
Development Methodologies for Big Data Analytics Systems.
Peer Reviewed
A number of machine learning process models (SEMMA, KDD, CRISP-DM, CRISP-ML, Data-to-Value1 etc.) have been recently proposed to facilitate the development of machine learning models in their organizational context. While the existing proposals vary with respect to complexity and suitability for particular tasks, it would be desirable to have software tools that embody or support these process models, and make it easier for project teams to capture, share among team members and stakeholders and preserve the relevant project information pertaining to the various process stages. In particular, recorded past statistics may be applied to predict the duration of stages or the overall project effort.
Presently, to the best of our knowledge, no requirement analysis exists that stipulates the detailed needs. To this end, we present a first collection and analysis of a requirements document for the software tooling for machine learning process models. We describe the functional and non-functional requirements of a Computer-Aided Machine Learning Modeling (CAMLM) tool, the soft-computing world’s counter-part to a CASE (Computer Aided Software Engineering) tool.
Various software cover sub-areas such as team management and communication management (Confluence, Jira, Slack, Zoom...) or project management (CRISP-DM, Scrum, Kanban-Board...) or data and information management (model management [Weber, Christian; Hirmer, Pascal; Reimann, Peter; Schwarz, Holger (2019): A New Process Model for the Comprehensive Management of Machine Learning Models. In: Proceedings of the 21st International Conference on Enterprise Information Systems: SCITEPRESS - Science and Technology Publications.] ). What is not available to our knowledge, however, is software that covers the entire sub-areas and the entire life cycle of machine learning projects in detail.
Vorliegen der Antragsvoraussetzungen bei der Option zum Teileinkünfteverfahren
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 25-38.
Steuerliche Behandlung der Carried Interest auf Ebene einer Fonds-Personengesellschaft
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 36-40.
Verfassungsmäßigkeit der Verlustverrechnungsbeschränkung für Termingeschäfte
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 43-47.
Zum wirtschaftlich einheitlichen Erwerb nach § 8b Abs. 4 Satz 6 KStG
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 51-54.
Gleichzeitige Zahlung von Geschäftsführergehalt und Pension
Demmler, Uwe (2024)
Steuerrecht aktuell 2024 (2), 50-51.
Forscher entwickeln Textscanner, um mit KI Manipulationen zu erkennen
Tominski, Katrin (2024)
Pensionskassen
Demmler, Uwe (2024)
Steuerrecht der betrieblichen Altersversorgung mit arbeitsrechtlicher Grundlegung Lfg. 53 / Juni 2024 / Band II / Teil 5, 71-168.
Second Workshop on AI for AI Education (AI4AILearning)
Kohlhase, Michael; Leidner, Jochen L.; Schmid, Ute; Wolter, Diedrich (2024)
held at KI 2024: 47. Deutsche Jahrestagung für Künstliche Intelligenz, Würzburg, 23.09. - 27.09.2024.
Peer Reviewed
Multidimensional AI-based Health-Assistant
Blümlein, Markus; Leidner, Jochen L. (2024)
Poster, presented at Networking for Research – German Universities of Applied Sciences and Researchers from Scotland (UDIF-HAW), DFG (German Research Foundation) and SULSA (Scottish Universities Life Sciences Alliances), online, 2024-04-24.
TAME II: A Modern Geographic Text Annotation Tool
Leidner, Jochen L.; Jung, Luca (2024)
Proceedings of the 21st International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2024), June, 17-18, 2024, Yverdon-les-Bains, Switzerland
, 95-104.
DOI: 10.1007/978-3-031-60796-7_7
Peer Reviewed
Experiments in News Bias Detection with Pre-Trained Neural Transformers
Menzner, T.; Leidner, Jochen L. (2024)
Proceedings of the 29th European Conference on Information Retrieval (ECIR 2024), Glasgow, Scotland, UK, March 24-28, 2024 IV, 270-284.
DOI: 10.1007/978-3-031-56066-8_22
Peer Reviewed
Homo Narrans: From Information to Narratives
Leidner, Jochen L. (2024)
Invited Keynote, Seventh International Workshop on Narrative Extraction from Texts (Text2Story 2024) held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024), Glasgow, Scotland, UK, 23 March 2024.
Control in Hybrid Chatbots
Rüdel, Thomas; Leidner, Jochen L. (2023)
Technical Report, ArXiv Pre-Print Server.
DOI: 10.48550/arXiv.2311.11701
Open Access
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro; Skruch, Pawel; Jaworek-Korjakowska, Joanna; Parkinson, Simon; Nikitas, Alexandros; Atzmüller, Martin; Tomás, Kliegr; Schmid, Ute; Bobek, Szymon; Lavrac, Nada; Peeters, Marieke; van Dierendonck, Roland; Robben, Saskia; Mercier-Laurent, Eunika; Kayakutlu, Gülgün; Owoc, Mieczyslaw Lech; Mason, Karl; Wahid, Abdul; Bruno, Pierangela; Calimeri, Francesco; Cauteruccio, Francesco; Terracina, Giorgio; Wolter, Diedrich; Leidner, Jochen L.; Kohlhase, Michael; Dimitrova, Vania (2023)
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro...
Communications in Computer and Information Science (CCIS) 1947.
Peer Reviewed
Language-Model Assisted Learning How to Program?
Leidner, Jochen L.; Reiche, Michael (2023)
Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.
Peer Reviewed
Bridging the Programming Skill Gap with ChatGPT: A Machine Learning Project with Business Students
Reiche, Michael; Leidner, Jochen L. (2023)
Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.
Peer Reviewed
Topic Segmentation of Educational Video Lectures Using Audio and Text
Dimitsas, Markos; Leidner, Jochen L. (2023)
Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.
Peer Reviewed
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro; Skruch, Pawel; Jaworek-Korjakowska, Joanna; Parkinson, Simon; Nikitas, Alexandros; Atzmüller, Martin; Tomás, Kliegr; Schmid, Ute; Bobek, Szymon; Lavrac, Nada; Peeters, Marieke; van Dierendonck, Roland; Robben, Saskia; Mercier-Laurent, Eunika; Kayakutlu, Gülgün; Owoc, Mieczyslaw Lech; Mason, Karl; Wahid, Abdul; Bruno, Pierangela; Calimeri, Francesco; Cauteruccio, Francesco; Terracina, Giorgio; Wolter, Diedrich; Leidner, Jochen L.; Kohlhase, Michael; Dimitrova, Vania (2023)
Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro...
Communications in Computer and Information Science (CCIS) 1948.
DOI: 10.1007/978-3-031-56066-8_22
Peer Reviewed
Digitalization of Controlling in Insurance Companies. Along the Limits of Insurability
Kraft, Mirko; Drerup, Bianca (2023)
in: Keimer, Imke; Egle, Ulrich (Hg.) (2023): The Digitalization of Management Accounting. Use Cases form Theory and Practice. Wiesbaden: Springer 2023, 277–293.
DOI: 10.1007/978-3-658-41524-2
This article deals with the digitalization of management accounting / controlling in insurance companies, which goes hand in hand with the digital transformation of the insurance industry by Big Data, Artificial Intelligence (AI) and Blockchain. The insurance business requires an industry-specific design of the controlling instruments, but not of the controlling concept itself. Managing insurance as a service in a value- and risk-oriented way requires cost transparency, e.g. through contribution margin calculations. Risks, on the other hand, can only be understood from a balance sheet perspective, e.g. through internal models. These interdisciplinary fields of application of controlling are undergoing digitalization. In addition, there are new market developments such as telematics tariffs, in which the digitalization of controlling is essential in order to address the limits of insurability. The fields of application result in new competence profiles of controllers in distinction to actuaries and data scientists.
Fakultät Wirtschaftswissenschaften (FW)
Hochschule Coburg
Jakob Hanke
Forschungsreferent
T +49 9561 317 360
jakob.hanke[at]hs-coburg.de