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Development and demonstration of software application functionality for solving the problem of consumer behavior prediction

INFORMAZIONI SU QUESTO ARTICOLO

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Andersen, A.R., Nielsen, B.F. and Reinhardt, L.B. (2017). European journal of operational research, 260(3), 1152–1163, doi: 10.1016/j.ejor.2017.01.026.10.1016/j.ejor.2017.01.026 Search in Google Scholar

Ben Mzoughia, M. and Limam, M. (2015). An improved customer lifetime value model based on Markov chain. Applied stochastic models in business and industry, 31(4), 528–535, doi: 10.1002/asmb.2053.10.1002/asmb.2053 Search in Google Scholar

Brémaud, P. (2020). Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues. Springer International Publishing.10.1007/978-3-030-45982-6 Search in Google Scholar

Brooks, S.; Gelman, A.; Jones, G. and Meng, X.-L. (2011). Handbook of Markov Chain Monte Carlo. CRC press.10.1201/b10905 Search in Google Scholar

Choi, J-G., Mok, J-W., Han and J-S. (2011). The Use of Markov Chains to Estimate Destination Switching and Market Share. Tourism Economics, 17(6), 1181–1196. https://doi.org/10.5367/te.2011.009110.5367/te.2011.0091 Search in Google Scholar

Dzieciolowski, K.(2015). Predicting customer attrition with Markov chain. European Conference on Data Mining (ECDM) / International Conference on Intelligent Systems and Agents / International Conference on Theory and Practice in Modern Computing, Las Palmas, SPAIN, 157–161. Search in Google Scholar

Gazdek, A. (2020). Korištenje metode Markovljevih procesa u predviđanju ponašanja potrošača, Diplomski rad. Fakultet organizacije i informatike, Varaždin. Search in Google Scholar

Hemam, S. M. and Hioual, O. (2016). Load Balancing Issue in Cloud Services Selection By Using MCDA and Markov Chain Model Approaches. 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech), Marrakech, MOROCCO, 163–169.10.1109/CloudTech.2016.7847694 Search in Google Scholar

Hillier, F. S. & Lieberman, G. J. (2000). Introduction to operations research, 7th Edition. New York: McGraw-Hill. Search in Google Scholar

Kumar, Ravi P., Goh, Alex K. L. and Ashutosh, K. S. (2013). Application of Markov Chain in the PageRank Algorithm. Pertanika journal of science and technology, 21(2), 541–553. Search in Google Scholar

Mioc, M.A. and Pentiuc, S.G. (2015). Study of a Random Navigation on the Web Using Software Simulation. Brain-broad research in artificial intelligence and neuroscience, 6(1–2), 97–105. Search in Google Scholar

Nazir, A., Anggraini, L., Octavia, L. and Syafria, F. (2016). Hospital Patients Arrival Prediction Using Markov Chain Model Method. 4th International Conference on Cyber and IT Service Management, Bandung, INDONESIA, 268–274.10.1109/CITSM.2016.7577590 Search in Google Scholar

Nawaz, F. et al. (2018). An MCDM method for cloud service selection using a Markov chain and the best-worst method. Knowledge-based systems, 159, 120–131, doi: 10.1016/j.knosys.2018.06.010.10.1016/j.knosys.2018.06.010 Search in Google Scholar

Shieh, J-I. and Wu, H.H. (2009). Applying a hidden Markov chain model in quality function deployment to analyze dynamic customer requirements. QUALITY & QUANTITY, 43(4), 635–644, doi: 10.1007/s11135-007-9153-8.10.1007/s11135-007-9153-8 Search in Google Scholar

Sour, L. (2020). Forecast of destination change and market share among the world's top tourist destinations through Markov chains. Turismo-estudos e praticas, 9(2). Search in Google Scholar

Winston, W. L. and Goldberg, J. B. (2004). Operations research: Applications and algorithms (4th ed.). Australia; Belmont, CA: Thomson Brooks/Cole. Search in Google Scholar

Yang, Z.X., Liu, W. and Xu, D. (2018). Study of cloud service queuing model based on imbedding Markov chain perspective. Cluster computing-the journal of networks software tools and applications, 21(1), 837–844, doi: 10.1007/s10586-017-0907-3.10.1007/s10586-017-0907-3 Search in Google Scholar

Zhang, X-L. et al. (2013). Forecasting Emergency Department Patient Flow Using Markov chain. 2013 10TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT (ICSSSM), 278–282.10.1109/ICSSSM.2013.6602537 Search in Google Scholar