Search Results - subject:"Machine Learning"

The Impact of Resource Allocation on the Machine Learning Lifecycle

Duda, Sebastian; Hofmann, Peter; Urbach, Nils; Völter, … - In: Business & Information Systems Engineering 66 (2023) 2, pp. 203-219

An organization's ability to develop Machine Learning (ML) applications depends on its available resource base. Without …

Persistent link: https://www.econbiz.de/10015406321

What Influences the Demand for a Potential Flood Insurance Product in an Area with Low Previous Exposure to Insurance? – A Case Study in the West African Lower Mono River Basin (LMRB)

Wagner, Simon; Thiam, Sophie; Dossoumou, Nadège I. P.; … - In: Economics of Disasters and Climate Change 8 (2023) 1, pp. 1-32

machine learning and deep learning models are applied to selected parameters from an existing household survey data set. In … addition, the deep learning sequential neural networks outperformed all machine learning models achieving an accuracy between …

Persistent link: https://www.econbiz.de/10015406695

Artificial Intelligence Algorithms for Collaborative Book Recommender Systems

Tegetmeier, Clemens; Johannssen, Arne; Chukhrova, Nataliya - In: Annals of Data Science 11 (2023) 5, pp. 1705-1739

Book recommender systems provide personalized recommendations of books to users based on their previous searches or purchases. As online trading of books has become increasingly important in recent years, artificial intelligence (AI) algorithms are needed to recommend suitable books to users and...

Persistent link: https://www.econbiz.de/10015407497

Machine-learning based process monitoring for automated composites manufacturing

Mujtaba, Ahmed; Islam, Faisal; Kaeding, Patrick; … - In: Journal of Intelligent Manufacturing 36 (2023) 2, pp. 1095-1110

predictive maintenance of the AFP process. The digital tool constitutes a machine learning-based surrogate model based on results …

Persistent link: https://www.econbiz.de/10015408311

eXplainable artificial intelligence for automatic defect detection in additively manufactured parts using CT scan analysis

Bordekar, Harsh; Cersullo, Nicola; Brysch, Marco; … - In: Journal of Intelligent Manufacturing 36 (2023) 2, pp. 957-974

Support Vector Machine (SVM), a supervised machine learning algorithm, trained with an Area Under the Curve (AUC) of 0 …

Persistent link: https://www.econbiz.de/10015408327

Enabling inter-organizational analytics in business networks through meta machine learning

Hirt, Robin; Kühl, Niklas; Martin, Dominik; Satzger, … - In: Information Technology and Management 26 (2023) 1, pp. 57-81

performance. In this work, we propose a meta machine learning method that deals with these obstacles to enable comprehensive …

Persistent link: https://www.econbiz.de/10015408328

Entwicklung und Evaluation eines Verfahrens zur Datenspeicherung in Data-Warehouse-Systemen auf Basis des Information Lifecycle Managements

Büsch, Sebastian - 2023

In Data-Warehouse-Systemen (DWS) stehen verschiedene Möglichkeiten zur Verfügung, um Speicherkosten zu senken (wie Nearline-Storage oder Archivierung) oder Datenanalysezeiten zu verringern (wie durch die Verwendung von Hauptspeicher bzw. kompletter In-Memory-Datenhaltung). Bisher fehlte...

Persistent link: https://www.econbiz.de/10013518371

An ontology based product recommendation system for next generation e-retail

Tiryaki, Ali Murat; Yücebaş, Sait Can - In: Journal of organizational computing and electronic commerce 33 (2023) 1/2, pp. 1-21

Persistent link: https://www.econbiz.de/10014388554

Explainable artificial intelligence and economic panel data : a study on volatility spillover along the supply chains

Berger, Theo - In: Finance research letters 54 (2023), pp. 1-6

Persistent link: https://www.econbiz.de/10014472730

Identifying research trends of machine learning in business : a topic modeling approach

Pramanik, Paritosh; Jana, Rabin K. - In: Measuring business excellence 27 (2023) 4, pp. 602-633

Persistent link: https://www.econbiz.de/10014496940