doc. Ing. Andrej Trnka, PhD.

AFCPublikované príspevky na zahraničných vedeckých konferenciách

• Market Basket Analysis with Data Mining Methods : Six Sigma methodology improvement / Andrej Trnka, 2010. In: 2010 International Conference on Networking and Information Technology : 11-12, June, 2010 : Proceedings / edited by: Steve Thatcher, Xie Yi. - Piscataway, NJ : IEEE, 2010. - ISBN 978-1-4244-7577-3, S. 446-450.
• Classification and Regression Trees as a Part of Data Mining in Six Sigma Methodology / Andrej Trnka, 2010. In: WCECS 2010 : World Congress on Engineering and Computer Science 2010. Vol. I. - Hong Kong : International Association of Engineers, 2010. - ISBN 978-988-17012-0-6. - ISSN 2078-0958, S. 449-453.
• Six Sigma Methodology with Fraud Detection / Andrej Trnka, 2010. In: Advances in Data Networks, Communications, Computers : 9th WSEAS Interanational Conference on Data Networks, Communications, Computers (DNCOCO`10) : University of Algarve, Faro, Portugal, November 3-5, 2010. - [S.l.] : WSEAS Press, 2010. - ISBN 978-960-474-245-5. - ISSN 1792-6157, S. 162-165
• Bilingual analysis of Love and Hatred emotional markers (SPSS-based approach) / Nataliya Panasenko, Petranová Dana, Trnka Andrej, Magál Slavomír ... [et al.], 2013. In: IJCNLP2013 : Sixth International Joint Conference on Natural Language Processing : Proceedings of the 3rd Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2013). - [S.l.] : Asian Federation of Natural Language Processing, 2013. - ISBN 978-4-9907348-2-4, S. 15-23.

ADEVedecké práce v ostatných zahraničných časopisoch

• Results of application data mining algorithms to (Lean) Six Sigma methodology / Andrej Trnka, 2012. - Popis urobený: 9. 2. 2012. In: Annals of Faculty Engineering Hunedoara : International Journal of Engineering. - ISSN 1584-2665, Roč. 10, č. 1 (2012), s. 141-144 [online].

ADNVedecké práce v domácich časopisoch registrovaných v databázach Web of Science alebo SCOPUS

• Fundamental Knowledge behind Creation of Concept Art / Martin Engler, Andrej Trnka, 2021. In: ejmap : European Journal of Media, Art & Photography. - ISSN 1339-4940, Roč. 9, č. 2 (2021), s. 106-115.

V2Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka – kapitola, príspevok, abstrakt, abstrakt z podujatia, poster z podujatia, príspevok z podujatia

• Fighting against Fake News Using the Card Game "Follow Me” / Vajk Pomichal, Andrej Trnka, 2022. - Kategória do roku 2021 AFC. In: Proceedings of the 16th European Conference on Games Based Learning / ed. Conceicao Costa, Filipe Luz, Nuno Fachada. - 1. vyd. - Reading : Academic Conferences International Limited, 2022. - ISBN 978-1-914587-52-8 (online). - ISSN 2049-0992, s. 455-462.

V3Vedecký výstup publikačnej činnosti z časopisu – abstrakt, článok, abstrakt z podujatia, poster z podujatia, článok z podujatia

• Mobile phone as a means of communication with Generation Z consumers in retail / Daniela Kollárová, Miriama Koliščáková, Andrej Trnka, 2023. - Kategória do roku 2021 ADM. DOI 10.7251/EMC2301113K. In: Časopis za ekonomiju i tržišne komunikacije = Economy and Market Communication Review = Economy and Market Communication Review. - ISSN 2232-8823, Roč. 13, č. 1 (2023), s. 113-130.
• With Games Against Fake News - Developing Critical Thinking with the Help of the Card Game Follow Me / Vajk Pomichal, Andrej Trnka, 2023. - Kategória do roku 2021 ADF. DOI DOI 10.34135/mlar-23-01-04. In: Media Literacy and Academic Research. - ISSN 2585-8726, Roč. 6, č. 1 (2023), s. 55-69 [print, online].
• Impact of Covid-19 on communication patterns of Czech and Slovak cosplayers / Anna Paulína Jelínková, Andrej Trnka, 2023. - Kategória do roku 2021 ADN. In: Communication Today. - ISSN 1338-130X, Roč. 14, č. 1 (2023), s. 174-190.

• 2021  [02] RODRIGUEZ, G., et al. Un Enfoque Híbrido para la Clasificación Automática de Obras Literarias. In: ASAI, Simposio de Inteligencia Artificial. 2021, s. 2-14. ISSN 2451-7585. 2021  [02] NICOLAS-SANS, R., GONZÁLEZ IBÁNEZ, D. Customer basket heterogeneity: how to measure it and some possible business applications. In: Economic Research-Ekonomska Istraživanja. 2021, 34(1), pp. 2572-2592. 2021  [02] RAO, A.B., KIRAN, J.S., POORNALATHA, G. Application of market-basket analysis on healthcare. In: International Journal of System Assurance Engineering and Management. 2021, s. 1-19. 2021  [02] KUMAR, D., KASHYAP, R., GAYATHRI, N. Market Basket Analysis: Identify the changing trends of market datausing association rule mining. In: Annals of R.S.C.B. 2021, 25(7), pp. 51-59. ISSN 1583-6258. 2021  [02] RAKHMANALIYEVA, K. Identifying customer buying patterns using market basket analysis. In: Fiziko-matematičeskie i techničeskie nauki. 2021, s. 95-101. DOI 10.55452/1998-6688-2021-18-3-95-101. 2021  [02] VEER, A., et al. Apriori Algorithm with Dynamic Parameter Selection and Pruning of Misleading Rules. In: Smart Trends in Computing and Communications. 2021, s. 619-627. 2020  [02] FASEEH, M., REHMAN, Z. Data Mining Assisted Purchase Prediction. In: Foundation University Journal of Engineering & Applied Sciences. 2020, 1(1), s. 1-18. 2020  [02] RAMADHAN, R., IRAWATI SETIAWAN, E. Market Basket Analysis untuk Swalayan KSU Sumber Makmur dengan Algoritma FP Growth. In: ISYST: Journal of Intelligent System and Computation. 2020, 2(1), s. 1-7. 2018  [02] BIKKU, T. A new weighted based frequent and infrequent pattern mining method on realtime E-commerce. In: Ingénierie des systémes d'information. 2018, 5, pp. 121-138. 2017  [3] GANGURDE, R., KUMAR, B., GORE, S.D. Optimized Predictive Model using Artificial Neural Network for Market Basket Analysis. In: International Journal of Computer Science & Communication. 2017, vol. 9, iss. 1, pp. 42-52. ISSN 0973-7391. 2016  [1] ROJAS BERRIO, S.P., et al. Big data: Trend emerging from research in marketing. In: Espacios. 2016, 37(38). ISSN 0798-1015. Scopus 2016  [3] KARTHIYAYINI, R., BALASUBRAMANIAN, R. Affinity Analysis and Association Rule Mining using Apriori Algorithm in Market Basket Analysis. In: International Journal of Advanced Research in Computer Science and Software Engineering. 2016, vol. 6, iss. 10, p. 244, 246. ISSN 2277-128X. 2016  [3] MAHESHWARI, N., PANDEY, N.K., AGARWAL, P. Market Basket Analysis using Association Rule Learning. In: International Journal of Computer Applications. 2016, pp. 20-24. ISSN 0975-8887. 2016  [3] BORKAR, Rahul, et al. Web Based Application and Data Mining Techniques for Large Shopping Malls. In: IJSRD - International Journal for Scientific Research & Development [online]. 2016, vol. 3, iss. 11, p. 864 [2016-07-13]. ISSN 2321-0613. Dostupné na: https://ijsrd.wordpress.com/ 2016  [1] KAUR, M., KANG, S. Market Basket Analysis: Identify the changing trends of market data using association rule mining. In: Procedia Computer Science. 2016, 85, p. 80, 85. ISSN 1877-0509. Scopus 2015  [3] BASOD, Sagar, et al. Market Basket Analysis using Data Mining. In: International Engineering Journal. 2015, vol. 1, iss. 9, pp. 779-781. ISSN 2395-1621. 2015  [3] KUTAIEV, O.V. Software system data analysis based detection algorithm associations. In: CHTK 2015. 2015  [1] MOUTACALLI, M.T., BOUZOUANE, A., BOUCHARD, B. New frequent pattern mining algorithm tested for activities models creation. In: IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CICARE 2014: 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-Health, Proceedings. 2015, pp. 69-76. Scopus 2015  [3] YUVARAJ, A.N., CHANDRIKA, J. Stock market fundamental analysis using data mining. In: Proceedings of 14th IRF International Conference, Bengaluru, India, 31st May 2015. 2015, s. 83. ISBN 978-93-85465-25-3. 2015  [3] SHARMA, N., et al. Evaluation and Comparison of Data Mining Techniques Over Bank Direct Marketing. In: International Journal of Innovative Research in Science, Engineering and Technology. 2015, vol. 4, iss. 8, pp. 7141-7147. ISSN 2347-6710. 2015  [3] VATS, Teena. Market Basket Analysis by Using Apriori Algorithm in Terms of Their Effectiveness Against Various Food Product. In: Research Paper. 2015, vol. 5, iss. 8, pp. 633-634. ISSN 2249-555X. 2015  [3] KIRTHIMA, M., KARKADA, P., RAMANNA, G. Log-mining using machine learning algorithma And Visualization. In: International Journal of Scientific & Engineering Reseach. 2015, vol. 6, iss. 12, pp. 521-524. ISSN 2229-5518. 2015  [3] RAO, K.N., SRINATH, Dr.M.V., PRASAD, K.D. A literature study on association rule mining. In: Elysium Journal. 2015, vol. 2, iss. 4, p. 5. ISSN 2347-4408. 2015  [3] ROODPISHI, M.V., NASHTAEI, R.A. Market basket analysis in insurance industry. In Management Science Letters, 2015, 5, s. 394, 400. 2014  [3] SATISH KUMAR, R., KUMAR SINHA, R. Affinity analysis: a competitive tool for unorganised retail sector. In: International Journal of Retailing & Rural Business Perspectives. 2014, vol. 3, no. 3, p. 1056, 1059. ISSN 2279-0934. 2014  [1] BHARGAV, A., MATHUR, R.P., BHARGAV, M. Market Basket Analysis using Artificial Neural Network. In International Conference for Convergence of Technology. 2014. ISBN 978-1-4799-3759-2, art. no. 7092091. Scopus 2014  [3] SINDHUJAA, N. et al. Analysis with association rules in different domains: survey. In International Journal of Information Technology & Mechanical Engineering. 2014, vol. 1, iss. 7, p. 16, 17. ISSN 2349-2865. 2013  [4] HALENÁR, Robert. Spracovanie údajov o predaji liečiv procesmi ETL v reálnom čase. In Forum Statisticum Slovacum, 2013, č. 2, s. 44. 2013  [3] SHANTANU, Shekhar. Market Basket Analysis (MBA): A Tool For local grocery shops/convenience stores to build strategy to compete with Supermarket. In: Scottish Journal of Arts, Social Sciences and Scientific Studies [online]. 2013, vol. 10, iss. 1, p. 54, 62 [2016-08-09]. ISSN 2047-1278. Dostupné na: http://scottishjournal.co.uk/paper/SJASS_Vol.10_No.1.pdf 2013  [3] DHANABHAKYAM, M., PUNITHAVALLI, M. An Efficient Market Basket Analysis based on Adaptive Association Rule Mining with Faster Rule Generation Algorithm. In: The SIJ Transacions on Computer Science Engineering & its Applications. 2013, vol. 1, no. 3, p. 106, 110. ISSN 2321-2373. 2013  [3] ANEES, M., JAYANTHI, S., SINDHUJAAA, N. A Complete Survey on Association Rules with Applicable to Different Domain. In International Journal of Emerging Technology & Research. 2013, vol. 1, iss. 1, p. 217, 218. ISSN 2347-6079. 2013  [3] PRASAD, J.P., MOURYA, M. A Study on Market Basket Analysis Using a Data Mining Algorithm. In International Journal of Emerging Technology and Advanced Engineering, 2013, roč. 3, č. 6, s. 363. 2013  [3] MEHTA, G., SHARMA, D., CHAUHAN, E. Application of Incremental Mining and Apriori Algorithm on Library Transactional Database. In International Journal of Computer Applications, 2013, roč. 73, č. 8, s. 17. 2013  [3] WISAENG, K. A Comparison of Different Classification Techniques for Bank Direct Marketing. In International Journal of Soft Computing and Engineering, 2013, roč. 3, č. 4, s. 119. 2013  [3] PAKKIRISAMY, A., RAMASAMY, CH., SUBRAMANIAN, S. Performance comparison of rule generation algorithm in open source data mining environments. In Advances in Engineering and Technology Convergence. 2013. ISBN 978-93-82208-89-1, s. 11, 13. 2012  [4] HALENÁR, Robert. Dynamicky generované tabuľky dimenzií a ich využitie v marketingu. In ĎURKOVÁ, K., BOBOVNICKÝ, A., ZAUŠKOVÁ, A. Inovácie a vedomostná spoločnosť/digitálny marketing - udržateľný rast a návrat investícií [CD-ROM]. Trnava : FMK UCM, 2012. s. 23. ISBN 978-80-8105-454-9. 2012  [3] DHANABHAKYAM, M., PUNITHAVALLI, M. A Novel Market Basket Analysis Using Adaptive Association Rule Mining Algorithm. In International Journal of Scientific Research, 2012, roč. 1, č. 4, s. 25, 28. 2012  [3] KEBÍSEK, Michal. Data Mining in the Industry. Ilmenau : Technische Universität, 2012. ISBN 978-3-86360-048-8. s. 98. 2012  [4] HALENÁR, Robert. Dynamicky generované tabuľky dimenzií a ich využitie v marketingu. In Journal of Information Technologies [online]. 2012, č. 2 [2013-02-15], s. 21. Dostupné na: http://jit.efmk.sk 2012  [3] HALENAR, Robert. Real Time ETL Improvement. In International Journal of Computer Theory and Engineering, 2012, roč. 4, č. 3, s. 405-409. 2011  [3] DHANABHAKYAM, M., PUNITHAVALLI, M. A Survey on Data Mining Algorithm for Market Basket Analysis. In Global Journal of Computer Science and Technology, 2011, roč. 11, č. 11. 2011  [3] HALENAR, Robert. Contribution of Near Real Time ETL. In 2011 International Conference on Database and Data Mining [CD-ROM]. Sanya : IEEE, 2011. s. 247. ISBN 978-1-4244-9610-5. 2011  [1] VAZAN, P. ... et al. The data warehouse suggestion for production system. In KATALINIC, B. (ed.) Annals of DAAAM for 2011 & Proceeding of the 22nd International DAAAM Symposium. 2011. ISBN 978-3-901509-83-4, pp. 17-18. Scopus 2011  [3] ZOBOK, M., TANUSKA, P. The Preprocessing of Data Imports within the Integration of Heterogenous Systems. In 2011 International Conference on Information and Computer Applications (ICICA 2011). 2011. ISBN 978-1-4244-9502-3, s. 81.
• 2017  [3] DOGAN, Onur. A Roadmap for Data Driven Decision Making to Improve Quality. In: ICENS: Book of Proceedings 2017. Budapest, 2017, s. 112, 118. ISBN 978-605-83575-5-6. 2014  [3] AKKAYA, G., TURANOĞLU, B., ÖZTAŞ, S. Six sigma and lean six sigma: A literature survey. In: Journal of Engineering and Natural Sciences. 2014, 32, p. 518, 523. 2013  [1] VAZAN, P. ... [et al.] Analysis of production process parameters by using data mining methods. In Applied Mechanics and Materials, 2013, 309, pp. 342-349. Scopus 2012  [3] KURNÁTOVÁ, J., JUROVATÁ, D., VAŽAN, P. Evaluation of strategies control of production system. In Central European Conference on Information and Intelligent Systems. 2012, s. 43, 47. 2012  [3] JUROVATÁ, D., KEBÍSEK, M., KURNÁTOVÁ, J. Application of Knowledge Discovery in Databases Process in the Production Systems. In Central European Conference on Information and Intelligent Systems. 2012, s. 42. 2012  [3] KEBÍSEK, Michal. Data Mining in the Industry. Ilmenau : Technische Universität, 2012. ISBN 978-3-86360-048-8. s. 99.
• 2014  [3] AlMANA, A.M., AKSOY, M. An Overview of Inductive Learning Algorithms. In International Journal of Computer Applicatins, 2014, roč. 88, č. 4, s. 27. 2013  [3] TANUSKA, P. ... [et al.] Knowledge Discovery from Production Databases for Hierarchical Process Control. In International Journal of Industrial Science and Engineering, 2013, roč. 7, č. 11, s. 609. 2012  [3] STREMY, M., STRASIFTAK, A., ZAVACKY, P. Concept of the Virtual Distributed Control System. In WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science. 2012. ISBN 978-988-19252-4-4. 2012  [3] TANUSKA, P. ... [et al.] The Procedure Proposal of Manufacturing Systems Management by Using of Gained Knowledge from Production Data. In WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science. 2012. ISBN 978-988-19252-4-4. 2011  [3] RAY, S., DAS, P., BHATTACHARYA, B.K. Prevention of industrial accidents using Six Sigma approach. In International Journal of Lean Six Sigma, 2011, roč. 2, č. 3, s. 196-214. 2011  [1] VAZAN, P., TANUSKA, P., KEBISEK, M. The data mining usage in production system management. In Proceedings of World Academy of Science, Engineering and Technology. 2011, 77, pp. 830-834. Scopus 2010  [3] OLIVEIRA, T., OLIVEIRA, A. Data Mining and Quality in Service Industry: Review and some applications [online]. Lisbon : Universidade Aberta, 2010. [2012-07-03]. Dostupné na internete: <www.ceaul.fc.ul.pt>.
• 2017  [01] BAUDER, R.A., KHOSHGOFTAAR, T.M. Multivariate outlier detection in medicare claims payments applying probabilistic programming methods. In: Health Services and Outcomes Research Methodology. 2017, 17(3-4), pp. 256-289. WoS 2016  [1] BAUDER, R.A., KHOSHGOFTAAR, T.M. A novel method for fraudulent medicare claims detection form expected payment deviations. In: Proceedings - 2016 IEEE 17th International Conference on Information Reuse and Integration. 2016, pp. 11-19. Scopus 2014  [1] HALENÁR, Robert. Steganography used for copyright protection in Matlab environment. In European Journal of Science and Theology, 2014, vol. 10, suppl. 1, pp. 253-262. Scopus 2013  [02] de ALMEIDA SCHEIBLER, B., MILANI MARTINS, V.L., SOARES ECHEVESTE, M.E. Deteccao de dados atípicos no estudo de tentativa de fraude no abastecimento de frotas utilizando o programa Seis Sigma. In: XIII SEPROSUL - Semana de la Ingeniería de Producción Sudamericana. 2013, s. 1-11. 2012  [3] KEBÍSEK, Michal. Data Mining in the Industry. Ilmenau : Technische Universität, 2012. ISBN 978-3-86360-048-8. s. 99. 2011  [3] TRNOVSKY, P., TANUSKA, P. Design specifics of control system software. In Aktuaľnye problemy i innovacii v ekonomike, upravlenii, obrazovanii, informacionnych technologijach, 2011, č. 6, zv. 1, s. 109. 2011  [4] MICHAĽČONOK, G., STRÉMY, M., ELIÁŠ, A. Quality and Dynamic Characteristics of Control System Visualization in Control Web. In Research Papers Faculty of Materials Science and Technology Slovak University of Technology, 2011, roč. 19, č. 30, s. 72. 2011  [3] TANUSKA, P., SKRIPCAK, T. Data-Driven Scenario Test Generation for Information Systems. In International Journal of Computer Theory and Engineering, 2011, roč. 3, č. 4, s. 565-572.
• 2021  [2] MIZIN, K., SLAVOVA, L., KHMARA, V. The equivalence of terms denoting the emotion concepts of Ger. angst and A.-S. fear: A corpus-based method. In: Lege Artis. 2021, 6(2), pp. 69-104. ISSN 2453-8035. WoS 2020  [2] MIZIN, K., OVSIIENKO, L. The German linguo-cultural concept Schadenfreude in cross-cultural perspective: a corpus-based approach. In: Lege Artis.2020, 5(1), pp. 143-184. ISSN 2453-8035. WoS 2014  [3] GUI, L. et al. Emotion Cause Detection with Linguistic Construction in Chinese Weibo Text. In ZONG, CH. et al. (eds.) Natural Language Processing and Chinese Computing. 2014. ISBN 978-3-662-45923-2, s. 457-464. 2014  [1] GUZII, T. Value component of linguocultural concept god in the old English language. In: European Journal of Science and Theology. 2014, 10 (6), pp. 99-104. Scopus 2014  [3] GUZII, Tetiana. God Phenomenon in Anglo-Saxon Mythological Image of the World. In International Journal of Linguistics and Communication, 2014, vol. 2, no. 1, pp. 13-25.