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Real-time wireless acquisition of process data

Zhang, Ye - 2011

This study discusses a novel method called automatic process measurement, which is based on the idea of mining process … data from workflow logs. We improve the process mining technique by using Bluetooth wireless technology to do real …

Persistent link: https://www.econbiz.de/10010333095

Testing the significance of calendar effects

Hansen, Peter Reinhard; Lunde, Asger - 2003

correlation structure, and its main advantage is that it is capable of producing data-mining robust significance. We apply the …

Persistent link: https://www.econbiz.de/10010318856

Stock picking via nonsymmetrically pruned binary decision trees

Andriyashin, Anton - 2008

Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

Persistent link: https://www.econbiz.de/10010263732

Gesundheitsreformen: Mehr Transparenz, mehr Effizienz und mehr Digitalisierung sind notwendig

Jochimsen, Beate - In: Wirtschaftsdienst 104 (2024) 9, pp. 594-598

Das deutsche Gesundheitswesen steht vor einer Vielzahl an Herausforderungen, die sich aus dem demografischen Wandel, den Anforderungen an eine solide Finanzierung und Wirtschaftlichkeit, der Notwendigkeit zur Entbürokratisierung und der Digitalisierung ergeben. Im Mittelpunkt dieses...

Persistent link: https://www.econbiz.de/10015116619

Reform der deutschen Notfallversorgung – was möglich ist und dabei auf dem Spiel steht

Molzberger, Kaspar - In: Wirtschaftsdienst 104 (2024) 9, pp. 608-613

: restructuring hospital financing and overhauling emergency services. While past efforts to reform emergency care have failed, the … providers hinder progress. The Minister's plan includes integrated emergency centres and improved coordination between hospital … and pre-hospital acute care. Achieving these goals, however, remains fraught with legal and political obstacles. …

Persistent link: https://www.econbiz.de/10015116646

Data-driven indirect punch wear monitoring in sheet-metal stamping processes

Unterberg, Martin; Becker, Marco; Niemietz, Philipp; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1721-1735

The wear state of the punch in sheet-metal stamping processes cannot be directly observed, necessitating the use of indirect methods to infer its condition. Past research approaches utilized a plethora of machine learning models to infer the punch wear state from suitable process signals, but...

Persistent link: https://www.econbiz.de/10015194329

Quantifying knowledge spillovers from advances in negative emissions technologies

Tripodi, Giorgio; Lamperti, Francesco; Mavilia, Roberto; … - 2022

Negative emissions technologies (NETs) feature prominently in most scenarios that halt climate change and deliver on the Paris Agreement's temperature goal. As of today, however, their maturity and desirability are highly debated. Since the social value of new technologies depends on how novel...

Persistent link: https://www.econbiz.de/10013432933

Application of predictive methods to financial data sets

Habibi, Reza - In: Financial Internet Quarterly 17 (2021) 1, pp. 50-61

and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play … categories namely data mining and machine learning, numerical analysis, operation research techniques and meta …

Persistent link: https://www.econbiz.de/10013466270

A machine learning framework towards bank telemarketing prediction

Koumétio Tékouabou, Stéphane Cédric; Gherghina, … - In: Journal of Risk and Financial Management 15 (2022) 6, pp. 1-19

The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...

Persistent link: https://www.econbiz.de/10014332470

A hybrid method to predict human action actors in accounting information system

Samarghandi, Hamed; Askarany, Davood; Dehkordi, Bahareh … - In: Journal of Risk and Financial Management 16 (2023) 1, pp. 1-24

Recent literature shows that adopting an accounting information system (AIS) can lead to better decision-making, planning, efficiency and on-time management control, and organisational functionality. However, the impact of AIS implementation on role creation in the organisation is unclear. With...

Persistent link: https://www.econbiz.de/10014332812