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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.

Date Reviewed  
- 10 of 53 reviews

   Mathematical foundations of big data analytics
Shikhman V., Müller D., Springer International Publishing, New York, NY, 2021. 288 pp.  Type: Book (978-3-662625-20-0), Reviews: (2 of 2)

Data science--and big data analytics as its most recent subdiscipline--is a fashionable research area and teaching subject. Many open-access libraries and source codes provide the opportunity to play with the availabl...

Aug 19 2022  
  Big data mining for climate change
Zhang Z., Li J., ELSEVIER, Cambridge, MA, 2020. 344 pp.  Type: Book (978-0-128187-03-6)

The book looks more like an encyclopedia than a handbook or textbook. The chapter titles mention climate issues that are typically discussed in the last subsections of the given chapter. Each chapter systematically goes through the for...

Apr 14 2022  
  Data privacy and trust in cloud computing: building trust in the cloud through assurance and accountability
Lynn T., Mooney J., van der Werff L., Fox G., Palgrave Macmillan, Switzerland, 2021. 170 pp.  Type: Book (978-3-030546-59-5)

The book is a compilation of chapters that investigates issues related to cloud (computing) service providers (CSPs), specifically customer trust and service-level requirements (SLRs). The majority of the chapters (except the last one)...

Mar 18 2022  
  Logical methods: the art of thinking abstractly and mathematically
Antonsen R., Springer, New York, NY, 2021. 304 pp.  Type: Book (978-3-030637-76-7)

The book, dedicated to undergraduate students just starting their studies, promises a basic grounding in mathematics to be used in computer science (CS) and the related scientific subjects....

Jul 27 2021  
   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  
   Bayesian analysis in natural language processing (2nd ed.)
Cohen S., Morgan&Claypool Publishers, San Rafael, CA, 2019. 344 pp.  Type: Book (978-1-681735-26-9)

Morgan & Claypool’s “Synthesis Lectures on Human Language Technologies” series provides grounded theory and practical approaches in an applied research sense. Bayesian analysis in natural langua...

May 28 2021  
   Data-intensive workflow management: for clouds and data-intensive and scalable computing environments
de Oliveira D., Liu J., Pacitti E., Morgan&Claypool Publishers, San Rafael, CA, 2019. 180 pp.  Type: Book (978-1-681735-57-3)

Data-intensive workflows turn up in scientific domains where the most current information technologies find application areas. The “differentia specifica” between business and scientific workflows is the importance ...

Sep 16 2020  
  Software project estimation: intelligent forecasting, project control, and client relationship management
Dimitrov D., Apress, New York, NY, 2020. 136 pp.  Type: Book (978-1-484250-24-2), Reviews: (2 of 2)

More like a professional handbook than a scientific study, Dimitrov is a practitioner who works on projects as a scrum master and has experience in how to communicate with business people, software designers, and technical and software...

Feb 12 2020  
   Adapting financial technology standards to blockchain platforms
Bello G., Perez A.  ACMSE 2019 (Proceedings of the 2019 ACM Southeast Conference, Kennesaw, GA, Apr 18-20, 2019) 109-116, 2019.  Type: Proceedings

Financial technology (fintech) has become an important component of the finance, banking, and payment industry. Essential financial technologies include the various approaches for blockchain and smart contracts. In this paper, the auth...

Jan 28 2020  
   Data exploration using example-based methods
Lissandrini M., Mottin D., Palpanas T., Velegrakis Y., Morgan&Claypool Publishers, San Rafael, CA, 2019. 164 pp.  Type: Book (978-1-681734-55-2)

This book provides a comprehensive overview and description of a broad range of search algorithms. Because the authors are experts at example-based searching methods, the book discusses the application of example-based approaches to se...

Nov 18 2019  
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