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Molnar, Balint
Eötvös Loránd University of Budapest
Budapest, Hungary
 
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Bálint Molnár is an associate professor at Eötvös Loránd University’s Faculty of Informatics in Budapest, Hungary. He teaches courses on methodologies of information systems development, enterprise resource planning (ERP), integrated systems, web technologies for enterprise information systems, and service science.

Bálint’s research areas include formal and mathematical methods for information systems modeling, ERP systems, complex information systems, business process modeling, the semantic web, enterprise architectures, service-oriented architecture (SOA), service science, and the application of data science methods to the world of information systems. He participates in research projects at the university and supervises several doctoral students. His work on information systems and their formal modeling led to the introduction of hypergraphs and homology into the formal modeling of business processes and information system architecture.

Bálint has published more than 250 papers and serves on the editorial boards for the Electronic Journal of Information Systems Evaluation and the European Journal of Applied Economics. He is a regular reviewer for several scientific conferences and journals, including the Conference on Enterprise Information Systems (CENTERIS), Journal of Computing and Information Technology (CIT), and IEEE Access, and a member of many professional organizations (János Bolyai Mathematical Society, John von Neumann Computer Society, ISACA, the ACM). He formerly worked as a consultant and project manager in the Hungarian Public Administration.

Bálint has been a reviewer for Computing Reviews since 2014. He has written more than 50 reviews.

 
 
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- 6 of 6 reviews

   
   Distributed real-time systems: theory and practice
Erciyes K., Springer Publishing Company, Incorporated, New York, NY, 2019. 341 pp.  Type: Book (978-3-030225-69-8)

This textbook summarizes contemporary knowledge and paradigms of real-time systems in a monographic way. It fits an undergraduate-level course since it starts with basic hardware and low-level real-time system characteristics....

Jun 18 2021  
   Research for practice: troubling trends in machine-learning scholarship
Lipton Z., Steinhardt J. Communications of the ACM 62(6): 45-53, 2019.  Type: Article

The article reviews the attention paid to an important issue in machine learning research, but the problem raised can be generalized to other fields within computer science and informatics....

Aug 20 2019  
  Building maintainable software: ten guidelines for future-proof code (Java edition)
Visser J., O’Reilly Media, Inc., Sebastopol, CA, 2016. 168 pp.  Type: Book (978-1-491953-52-5)

Building maintainable software starts by formulating some generic concepts of software architecture that can be applied to various software engineering, architecture, and programming language environments....

Nov 18 2016  
  Anonymous smartphone data collection: factors influencing the users’ acceptance in mobile crowd sensing
Gustarini M., Wac K., Dey A. Personal and Ubiquitous Computing 20(1): 65-82, 2016.  Type: Article

The authors define mobile crowd sensing (MCS) as follows: “a collaborative effort from mobile smartphone users to sense and share their data needed to fulfill a given MCS objective (e.g., modeling of urban traffic or wellness...

May 6 2016  
  A hybrid approach to answering why-not questions on relational query results
Herschel M. Journal of Data and Information Quality 5(3): 1-29, 2015.  Type: Article

Developers often have to deal with data cleaning and data integration tasks. During this work, the database programmer may encounter a situation in which the original intention and the obtained result differ. To highlight the root caus...

Jun 15 2015  
  Searching for people to follow in social networks
Liang B., Liu Y., Zhang M., Ma S., Ru L., Zhang K. Expert Systems with Applications: An International Journal 41(16): 7455-7465, 2014.  Type: Article

The research of social networks is currently popular, as it provides an opportunity for the investigation of disparate theoretical approaches. The analysis of social networks requires mathematical and computational theory, in addition ...

Oct 27 2014  
 
 
 
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