Authors: Azzopardi, Ayrton Senna, Azzopardi, Joel, International Conference on Smart Business Technologies
Subject Terms: Data mining, Machine learning, Neural networks (Computer science), Customer relations -- Management, Computer communication systems
Relation: Azzopardi, A. S., Azzopardi, J. (2022). Predicting customer behavioural patterns using a virtual credit card transactions dataset. Proceedings of the 19th International Conference on Smart Business Technologies, Portugal. 160-167.; https://www.um.edu.mt/library/oar/handle/123456789/103259
Authors: Grzybowska, Katarzyna, Cyplik, Piotr
Subject Terms: Business logistics -- Technological innovations, Business logistics -- Information technology, Cluster analysis, Text data mining
Relation: Grzybowska, K., & Cyplik, P. (2022). Digital technology for digital supply chain : the clusters identification. European Research Studies Journal, 25(3), 203-215.; https://www.um.edu.mt/library/oar/handle/123456789/104068
Subject Terms: Anomaly detection (Computer security), Data loggers, Flight recorders, Data mining
Relation: Kumar Sameer, J., Valentino, G., Muscat, A. & Camilleri, R. (2022). Hybrid machine learning–statistical method for anomaly detection in flight data. Applied Sciences, 12(20), 10261.; https://www.um.edu.mt/library/oar/handle/123456789/104773
Authors: Cvetkoska, Violeta, Ivanovski, Igor, Tasheva, Marija
Subject Terms: Data envelopment analysis, Bibliometrics, Insurance -- Research, Text data mining
Relation: Cvetkoska, V., Ivanovski, I., & Tasheva, M. (2021). Literature survey on DEA in the insurance industry with a focus on identification of research hotspots with text mining. Journal of Corporate Governance, Insurance and Risk Management, 8(2), 114-130.; https://www.um.edu.mt/library/oar/handle/123456789/87117
Subject Terms: Machine learning, Data mining, Consumer profiling, Market segmentation
Relation: Rymarczyk, P., Gołąbek, P., Skrzypek-Ahmed, S., & Rzemieniak, M. (2021). Profiling and segmenting clients with the use of machine learning algorithms. European Research Studies Journal, 24(s2), 513-522.; https://www.um.edu.mt/library/oar/handle/123456789/102773
Authors: Mamo, Nicholas, Layfield, Colin, Azzopardi, Joel, 13th International Joint Conference, IC3K 2021
Subject Terms: RSS feeds, Computer network resources, Data mining, Algorithms, Twitterbots, Artificial intelligence, Deep learning (Machine learning), Machine learning
Relation: Mamo, N., Layfield, C., Azzopardi, J. (2023). From event tracking to event modelling : understanding as a paradigm shift. 13th International Joint Conference, IC3K 2021. 21-36.; https://www.um.edu.mt/library/oar/handle/123456789/113499
Authors: Wyrobek, Joanna
Subject Terms: COVID-19 (Disease), Data mining -- Case studies, Economic development -- Case studies
Relation: Wyrobek, J. (2020). The use of decision trees for analysis of the potential determinants for the incidence of deaths and cases of coronavirus (Covid-19) in different countries. European Research Studies Journal, 23(Special issue 3), 556-566.; https://www.um.edu.mt/library/oar/handle/123456789/79919
Authors: Camilleri, Stephen, R. Agius, Matthew, Azzopardi, Joel
Subject Terms: Text data mining, Earthquake hazard analysis, Seismology, Information visualization, Information retrieval, Geological mapping
Relation: Camilleri, S., Agius, M. R., & Azzopardi, J. (2020). Analysis of online news coverage on earthquakes through text mining. Frontiers in Earth Science, 8, 141.; https://www.um.edu.mt/library/oar/handle/123456789/103189
Authors: Saliba, Maurice, Abela, Charlie, Layfield, Colin, 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS) 2018
Subject Terms: Traffic flow -- Malta, Data mining -- Malta, Traffic monitoring -- Malta, Machine learning -- Technique, Neural networks (Computer science) -- Malta
Relation: Saliba, M., Abela, C., & Layfield, C. (2018). Vehicular traffic flow intensity detection and prediction through mobile data usage. Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS), Trinity College Dublin, 66-77.; http://ceur-ws.org/Vol-2259/; https://www.um.edu.mt/library/oar/handle/123456789/91881
Authors: Ivanchenko, Olyesia Valerievna, Mirgorodskaya, Olga Nikolaevna, Baraulya, E. V., Putilina, T. I.
Subject Terms: Relationship marketing -- Russia, Data mining, Banks and banking -- Automation, Banks and banking -- Data processing, Banks and banking -- Russia, Big data
Relation: Ivanchenko, O. V., Mirgorodskaya, O. N., Baraulya, E. V., & Putilina, T. I. (2019). Marketing relations and communication infrastructure development in the banking sector based on big data mining. International Journal of Economics and Business Administration, 7(Special issue 2), 176-184.; https://www.um.edu.mt/library/oar/handle/123456789/51732
Availability: https://www.um.edu.mt/library/oar/handle/123456789/51732
Authors: Belikova, K. M., Badaeva, N. V., Akhmadova, M. A.
Subject Terms: Knowledge management, Technological innovations -- Economic aspects, Science -- Data processing, Data mining, Communication in science
Relation: Belikova, K. M., Badaeva, N. V., & Akhmadova, M. A. (2019). Economization of information and scientific data : a common approach. International Journal of Economics and Business Administration, 7(1), 153-161.; https://www.um.edu.mt/library/oar//handle/123456789/43967
Subject Terms: Personality -- Recognition -- Computer networks, Linked data -- Computer networks, Online social networks -- Data processing, Text data mining -- Computer networks
Relation: Aquilina, A., & Abela, C. (2022). Predicting links in a social network based on recognised personalities. In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1347-1354.; https://www.um.edu.mt/library/oar/handle/123456789/96445
Authors: D'agostini, Enrico
Subject Terms: Logistics, Shipping companies (Marine transportation), Freight and freightage, Social media, Text data mining
Relation: D'agostini, E. (2022). The dynamics of value propositions through social media engagement in maritime transport networks : Maersk vs Mediterranean Shipping Company. Maritime Business Review, 7.; https://www.um.edu.mt/library/oar/handle/123456789/106316
Relation: Ferreira, C., Lam, J., Pitt, L., Caruana, A., & Brown, T. (2022). Contrasting compulsive behaviour: Computerized text analysis of compulsion narratives. Journal of Health Psychology, 27(8), 1942-1958.; https://www.um.edu.mt/library/oar/handle/123456789/105199
Authors: Tabone, André, Bonnici, Alexandra, Cristina, Stefania, Farrugia, Reuben A., Camilleri, Kenneth P., 9th International Conference on Pattern Recognition Applications and Methods
Subject Terms: Computational intelligence, Computational complexity, Artificial intelligence, Big data, Data mining, Deep learning (Machine learning), Pornography
Relation: Tabone, A., Bonnici, A., Cristina, S., Farrugia, R. A., & Camilleri, K. P. (2020). Private body part detection using deep learning. 9th International Conference on Pattern Recognition Applications and Methods. 205-211.; https://www.um.edu.mt/library/oar/handle/123456789/85818
Availability: https://www.um.edu.mt/library/oar/handle/123456789/85818
Authors: Gupta, Bharat, Bajaj, Vasvi, Panda, Rajat Bhusan, Garg, Lalit
Subject Terms: Neural networks (Computer science) -- Case studies, Computational intelligence -- Data processing, Video recordings -- Classification, Digital images -- Classification, Image data mining
Relation: Gupta, B., Bajaj, V., Panda, R.B., & Garg, L. (2020). Improving the Performance of Video Content Genuineness Using Convolution Neural Network. In Sharma, D.K., Balas, V.E., Son, L.H., Sharma, R., Cengiz, K. (Eds.), Micro-Electronics and Telecommunication Engineering. Lecture Notes in Networks and Systems, vol 106 (pp. 601-610). Springer, Singapore.; https://www.um.edu.mt/library/oar/handle/123456789/109432
Authors: Kelly, Steer, Vella, Joseph G., 3rd International Conference on Information Systems and Management Science (ISMS) 2020
Subject Terms: Data mining, Social networks, Computer networks, Spatial analysis (Statistics), Spatial data infrastructures
Relation: Steer, K., & Vella, J. G. (2020). Link prediction based on spatio-temporal networks. In International Conference on Information Systems and Management Science (pp. 228-239).; https://www.um.edu.mt/library/oar/handle/123456789/93658
Subject Terms: Data structures (Computer science), Intellectual property, Graph theory, Electronic data processing, Data mining
Relation: Patrikeeva, N. V., Babeshko, V. N., Kamenev, E. A., & Podolskiy, V. E. (2015). A novel graph decomposition approach to the automatic processing of poorly formalized data : innovative ideas : a management case study. European Research Studies Journal, 18(4), 5-34.; https://www.um.edu.mt/library/oar//handle/123456789/29893
Authors: Garg, Lalit, McClean, Sally I., Barton, Maria, Meenan, Brian J., Fullerton, Ken, Kontonatsios, Georgios, Trovati, Marcello, Konkontzelos, Ioannis, Xu, Xiaolong, Farid, Mohsen
Subject Terms: Phase contrast magnetic resonance imaging, Information display systems, Text data mining, Gaussian processes
Relation: Garg, L., McClean, S. I., Barton, M., Meenan, B. J., Fullerton, K., Kontonatsios, G.,.Farid, M. (2021). Evaluating Different Selection Criteria for Phase Type Survival Tree Construction. Big Data Research, 25, 100250.; https://www.um.edu.mt/library/oar/handle/123456789/108998
Authors: Nejad, Malek Khojasteh
Subject Terms: Stock exchanges -- Iran, Portfolio management -- Iran, Data mining, Evolutionary computation, Portfolio management -- Data processing
Relation: Nejad, M. K. (2014). Clustering stock exchange data by using evolutionary algorithms for portfolio management. European Research Studies Journal, 17(4), 55-66.; https://www.um.edu.mt/library/oar//handle/123456789/30730