TY - JOUR AU - Felföldi, János AU - Botos, Szilvia AU - Bálint, Péter Levente AU - Dénes, Sulyok AU - Sándor, Csenki AU - Takács, Viktor László TI - A process-oriented data warehouse to support decision making process in crop production JF - AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS J2 - AGRÁRINFORMATIKA / AGRICULT INFORM VL - 14 PY - 2023 IS - 1 SP - 33 EP - 43 PG - 11 SN - 2061-862X DO - 10.17700/jai.2023.14.1.697 UR - https://m2.mtmt.hu/api/publication/34059226 ID - 34059226 LA - English DB - MTMT ER - TY - GEN AU - Takácsné Bubnó, Katalin AU - Zsuzsanna, Jeszenszky AU - Georgina, Molnár AU - Gellért, Nagy AU - Takács, Viktor László TI - Legal deposit management information system PY - 2022 SP - 1 EP - 10 PG - 10 UR - https://m2.mtmt.hu/api/publication/34066295 ID - 34066295 AB - Legal deposit is one of the most significant collections of the Hungarian national cultural heritage and a very important part of the collection of the University of Debrecen University and National Library (DEENK). The first packages of the legal deposit collection arrived 70 years ago, in 1952. Anyone interested in science has the opportunity to use this library collection for research. This collection is invaluable. Nevertheless, due to low interest, little attention is given to the fact, how much work the cultural institutions, and within that to DEENK, have to do with it. There has always been a need for librarians to accurately document their work. That is why during the library processing work, the book carts have long been accompanied by the so-called ”cart sheet”. The paper-based cart sheet is the same age as the legal deposit collection in DEENK. Nevertheless, earlier there had been no need to process and extract information from the sheets about the parts or the whole of the workflow. In 2020 the administration of the current processes were digitized and in 2021 a manager information system was set up to bridge this gap. The Library uses an integrated library system called Corvina. However, there are more work phases around the legal deposit that are not documented in the Corvina system, so a modernized version of the cart sheet accompanying the book carts should be kept. In this paper we introduce our system and also the final dashboards as provided for the managers of the Library. A hybrid modeling methodology was applied. On one hand, we planned from the top by mapping and formalizing management questions, but on the other hand we used the bottom-up approach by building a data cube through an Extract - Transform - Load (ETL) process from the online cart sheet filled by the colleagues in an everyday routine. Intermediate steps are also presented: requirement analysis, source analysis, integration phase with the transformation processes. With the help of an entity-relationship model the working of the system is also demonstrated, as well as the dashboards of the final system.]. LA - English DB - MTMT ER - TY - JOUR AU - Takácsné Bubnó, Katalin AU - Takács, Viktor László TI - Mathematical and computational awareness before and after the pandemic JF - FRONTIERS IN EDUCATION J2 - FRONT EDUC VL - 7 PY - 2022 SP - 1 PG - 12 SN - 2504-284X DO - 10.3389/feduc.2022.933339 UR - https://m2.mtmt.hu/api/publication/33115509 ID - 33115509 AB - Mathematical thinking and computational thinking go hand in hand. Both of them are based on awareness of problem-solving. However, consciousness does not exist without a proper mental and psychological state. Formerly we examined some mathematical psychological aspects that could have an impact on both mathematical and computational problem-solving. We taught novice computational programming by solving mathematical word problems. Our first experiments were performed years before the pandemic. In this study, we present the results of a new experiment on the same topic, but this was performed during the pandemic homeschool interval. The programming environment and the teaching material were the same as before. We present our results based on our homeschool experience. We expect that the results of homeschool study groups are not worse than the results of before-pandemic study groups in reaching the aforementioned aim. The experiment proved our previous hypothesis that we can successfully teach solving mathematical word problems in a computational environment, and at the same time with the help of word problems, we can successfully teach the basic elements of computer programming. LA - English DB - MTMT ER - TY - CHAP AU - Takácsné Bubnó, Katalin AU - Jeszenszky, Zsuzsanna AU - Molnár, Georgina AU - Gellért, Nagy AU - Takács, Viktor László ED - Arnold, Michelle ED - Dille, Nils ED - Eichhorn, Karin ED - Janus, Leandra ED - Menzel, Marie ED - Stegemeyer, Merle ED - Witten, Marna TI - Legal deposit management information system T2 - 30th BOBCATSSS Symposium Data and Information Science : Book of Abstracts PB - University of Debrecen CY - Debrecen PY - 2022 SP - 50 UR - https://m2.mtmt.hu/api/publication/33044591 ID - 33044591 LA - English DB - MTMT ER - TY - JOUR AU - Takács, Viktor László AU - Takácsné Bubnó, Katalin TI - Mathability in Business Education JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 19 PY - 2022 IS - 1 SP - 9 EP - 29 PG - 21 SN - 1785-8860 DO - 10.12700/APH.19.1.2022.19.2 UR - https://m2.mtmt.hu/api/publication/32555959 ID - 32555959 AB - Data Analyst or Data Scientist is one of the most sought-after professions. In tertiary education, the most common way for someone to become a Data Analyst is to learn Business and, later, if someone has some computational skills they can learn Computer Science as well. With the two degrees, they can solve real-life problems in their job. But there are a lot of necessary things they had never studied before because the basic conceptual methodology and the mindset were not based on any of the two curricula. Our aim is to develop a method in introductory business education to lay down the bases of the right-thinking towards data sciences for undergraduate students in Economics. If they are interested in the topic, they can orient themselves towards data sciences during their further studies. In this paper, we present a methodology to help Economics and Business Students to understand the main business questions, formalize the questions correctly, find computer-based solutions, and discuss/debug the results. Furthermore, students must learn basic data transformations and data enrichment methods as well, which is the primary feature of high-mathability problem-solving approaches. The tool we use is Microsoft Excel which contains OLAP (On-Line Analytical Processes) elements. LA - English DB - MTMT ER - TY - JOUR AU - Ráthonyi, Gergely Gábor AU - Takács, Viktor László AU - Szilágyi, Róbert AU - Bácsné Bába, Éva AU - Müller, Anetta AU - Bács, Zoltán AU - Rákos, Mónika AU - Balogh, László AU - Ódor, Kinga TI - Your Physical Activity Is in Your Hand—Objective Activity Tracking Among University Students in Hungary, One of the Most Obese Countries in Europe JF - FRONTIERS IN PUBLIC HEALTH J2 - FRONT PUBLIC HEALTH VL - 9 PY - 2021 PG - 9 SN - 2296-2565 DO - 10.3389/fpubh.2021.661471 UR - https://m2.mtmt.hu/api/publication/32208250 ID - 32208250 LA - English DB - MTMT ER - TY - JOUR AU - Lakatos, Vilmos AU - Takács, Viktor László AU - Béresné Mártha, Bernadett TI - Supporting corporate decision-making with Tableau program JF - ANALELE UNIVERSITATII DI N ORADEA - STIINTE ECONOMICA / ANNALS OF UNIVERSITY OF ORADEA - ECONOMIC SCIENCE J2 - ANAL UNIV ORADEA STIINT ECON / ANNALS UNIV ORADEA ECON SCI VL - 29 PY - 2020 IS - 2 SP - 304 EP - 314 PG - 11 SN - 1222-569X UR - https://m2.mtmt.hu/api/publication/31829723 ID - 31829723 LA - English DB - MTMT ER - TY - JOUR AU - Takács, Viktor László AU - Takácsné Bubnó, Katalin AU - Ráthonyi, Gergely Gábor AU - Bácsné Bába, Éva AU - Szilágyi, Róbert TI - Data Warehouse Hybrid Modeling Methodology JF - CODATA DATA SCIENCE JOURNAL J2 - CODATA VL - 19 PY - 2020 PG - 23 SN - 1683-1470 DO - 10.5334/dsj-2020-038 UR - https://m2.mtmt.hu/api/publication/31634863 ID - 31634863 AB - The classic conceptual modeling around business processes followed by the ‘bus matrix’ methodology of designing the data cubes of data warehouses (Kimball & Ross 2013). For a serious system, such a quantity of management questions and dimensions, the bus matrix results a difficult-to-understand conceptual data model. The subject of automation and conceptual design – to which many individual methods already have been developed – are relevant topics in today’s literature also. In the 2010s data warehouse projects were realized in Hungarian higher education to inform the decision makers of the universities about their own institutions. As we participated in this project in 2009–2010, we faced that our bus matrix at the end contained about 80–120 indicators with nearly 200 dimensions (dimensional attributes), therefore we worked on the early stenography to formalize the management question. We provide a kind of ‘business intelligence problem solving thinking’ and a kind of descriptive language that can serve it and present a method which has two novelties compared to formers: 1. It is based on the management questions and its visualization. 2. As a kind of stenography, it is always based on the terminology corresponding to the current problem, so it forms an intermediate language for the data model. We introduce our method through an example in a popular research area which is activity tracking. LA - English DB - MTMT ER - TY - CHAP AU - Ráthonyi, Gergely Gábor AU - Karikás, Krisztián Norbert AU - Takács, Viktor László AU - Marton, Szabolcs AU - Ódor, Kinga ED - Balogh, László TI - Teljesítmény indikátorok vizsgálata a labdarúgásban – a bajnoki címért és kiesés ellen küzdő csapatok összehasonlítása a támadó teljesítmény indikátorok mentét az olasz labdarúgó bajnokságban T2 - Trendek a versenysport és a szabadidősport területéről PB - Debreceni Egyetem Sporttudományi Koordinációs Intézet CY - Debrecen SN - 9789634902218 T3 - Válogatott tanulmányok a sporttudomány köréből, ISSN 2631-0910 ; 4. PY - 2020 SP - 244 EP - 250 PG - 7 UR - https://m2.mtmt.hu/api/publication/31337096 ID - 31337096 AB - A világ töretlenül legnépszerűbb sportja a labdarúgás. A technológia fejlődése révén a labdarúgásban dolgozó szakemberek számára jelentős mennyiségű, változó formátumú adat vált elérhetővé, melynek feldolgozása és felhasználása kulcsfontosságú számukra. A labdarúgásban a sikerességet a tabellán elfoglalt minél előkelőbb helyezéssel szokták azonosítani. A közelmúltban a kutatások rámutattak arra, hogy a sikeres labdarúgó csapatok kulcsfontosságú teljesítménymutatói a labdabirtoklás, a kapura lövés és a rúgott gólok száma. Jelen tanulmány célja, hogy megvizsgálja azokat a támadó teljesítménymutatókat, amelyek megkülönböztethetik az olasz Seria A 2018/2019-es idényének első hat és utolsó hat helyezettjét, azaz a nemzetközi kupaszereplésért küzdő csapatokat és a kiesés ellen harcoló csapatokat. A kapott eredmények alátámasztják azt a megállapítást, hogy a sikeres csapatok nagyobb arányban birtokolják a labdát, többet passzolnak, és többet lőnek kapura. A sikeres csapatok többet birtokolják a labdát a támadó harmadban, jellemző rájuk a rövid passzos játék, míg a kiesés elkerüléséért küzdő csapatok jellemzően a védekező harmadban birtokolják többet a labdát és előre íveléssel próbálkoznak több alkalommal. A labdarúgó edzők számára fontos, hogy tisztában legyenek a csapatok közötti különbségekkel, hogy be tudják azonosítani a sikerességet meghatározó kulcsindikátorokat. Football is the most popular sport in the world. Due to the development of technology, a significant amount of data in different forms have become available to football professionals and data processing and using are key for them. In football, successful football performance has been identified as finishing as high in the league as possible. In recent years researches have shown that ball possession, shots at goal and the number of goals scored are key performance indicators for successful football teams. The aim of the present study is to examine the offensive performance indicators that can differentiate between the first six and last six places of the Italian Seria A of the 2018/2019 season, namely the teams fighting for the International Cup and the teams fighting to avoid relegation. The results obtained support the finding that successful teams have a higher possession of the ball, more passes and more shots. Successful teams have more ball possession in the offensive third, characterized by a short pass play, while teams struggling to avoid relegation typically have more possession of the ball in the defensive third and play more long passes. It is important for coaches to be aware of the differences between teams so that they can identify key indicators of success. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Takácsné Bubnó, Katalin AU - Takács, Viktor László TI - Cognitive Aspects of Mathematics-aided Computer Science Teaching JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 16 PY - 2019 IS - 5 SP - 73 EP - 93 PG - 21 SN - 1785-8860 DO - 10.12700/APH.16.6.2019.6.6 UR - https://m2.mtmt.hu/api/publication/30778360 ID - 30778360 AB - Some years ago we started an experiment with teaching an algorithmic thinking method, in an old-new approach and with a newly developed ecosystem. We planned our method for the future, when students will use their own devices in schools, and computer programming should usually be integrated into various teaching environments, including teaching mathematical problem solving once again. Our method fits into analogy-based pedagogical research, which focuses on problem solving in computer science. We presented and examined our method at the 2017 CoginfoCom Conference, in the sense of Mathability. There, we also asked further questions concerning the efficiency of analogybased computer programming teaching methods [2]. In this paper, we would like to answer these questions. LA - English DB - MTMT ER -