Andrea Ko

Professor

Budapesti Corvinus Egyetem

Hungary

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About

Professor Andrea Ko is a faculty member at Budapesti Corvinus Egyetem in Hungary. Her research interests include statistical modeling, big data applications, and the integration of artificial intelligence in library systems. Her recent publications explore topics related to digital transformation in manufacturing, Industry 4.0 frameworks, and the application of semantic text mining in business analytics. Professor Ko actively contributes to the development of innovative approaches in smart manufacturing and decision support systems.

Articles (8)

Year:

2021

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2021

Year:

2021

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2021

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2021

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2020

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2020

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2020

Collaborators (1)

Tibor Kovacs

assistant lecturer

Corvinus University of Budapest

HUNGARY

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Andrea Ko

Research Interests

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Articles (8)

Developing a mathematical model of the co-author recommender system using graph mining techniques and big data applications

Intelligent libraries: a review on expert systems, artificial intelligence, and robot

The investigation on infoecology in the field of smart manufacturing

Influencing factors of digital transformation: management or IT is the driving force?

Industry 4.0 readiness in manufacturing: Company Compass 2.0, a renewed framework and solution for Industry 4.0 maturity assessment

Measuring the impact of lean practices on manufacturing performance – case study from the process industry

Monitoring Pneumatic Actuators’ Behavior Using Real-World Data Set

A Research Review and Taxonomy Development for Decision Support and Business Analytics Using Semantic Text Mining

Collaborators (1)

Tibor Kovacs

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