{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:42:19Z","timestamp":1743136939721,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030632694"},{"type":"electronic","value":"9783030632700"}],"license":[{"start":{"date-parts":[[2020,12,23]],"date-time":"2020-12-23T00:00:00Z","timestamp":1608681600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,12,23]],"date-time":"2020-12-23T00:00:00Z","timestamp":1608681600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-63270-0_14","type":"book-chapter","created":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T08:03:09Z","timestamp":1608624189000},"page":"210-224","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Dynamic Bayesian Networks Application for Economy Competitiveness Situational Modelling"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5392-5125","authenticated-orcid":false,"given":"Mariia","family":"Voronenko","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4989-0879","authenticated-orcid":false,"given":"Dmytro","family":"Nikytenko","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4365-5413","authenticated-orcid":false,"given":"Jan","family":"Krejci","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3512-6976","authenticated-orcid":false,"given":"Nataliia","family":"Krugla","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4808-0241","authenticated-orcid":false,"given":"Oleksandr","family":"Naumov","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8339-1219","authenticated-orcid":false,"given":"Nataliia","family":"Savina","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9430-3640","authenticated-orcid":false,"given":"Elzara","family":"Topalova","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8476-3341","authenticated-orcid":false,"given":"Viktoriia","family":"Filippova","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1536-5542","authenticated-orcid":false,"given":"Volodymyr","family":"Lytvynenko","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,12,23]]},"reference":[{"key":"14_CR1","unstructured":"Heckerman, D.E., Horvitz, E.J., Nathwani, B.N.: Toward normative expert systems: Part I. The Pathfinder project., Methods Inf. Med. 31, 90\u2013105 (1992)"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Yu, J., Smith, V., Wang, P., Hartemink, A., Jarvis, E.: Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinformatics, 20(18):3, 594\u2013603 (2004)","DOI":"10.1093\/bioinformatics\/bth448"},{"key":"14_CR3","first-page":"309","volume":"9","author":"GF Cooper","year":"1992","unstructured":"Cooper, G.F., Herskovits, E.: A Bayesian method for the induction of probabilistic networks from data. Mach. Learn. 9, 309\u2013347 (1992)","journal-title":"Mach. Learn."},{"key":"14_CR4","first-page":"159","volume":"2","author":"W Buntine","year":"1994","unstructured":"Buntine, W.: Operations for learning with graphical models. J. Theor. Experimental Artif. Intell. 2, 159\u2013225 (1994)","journal-title":"J. Theor. Experimental Artif. Intell."},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Beinlich, I.A., Suermondt, H.J., Chavez, R.M., Cooper, G.F.: The ALARM monitoring system: a case study with two probabilistic inference techniques for belief networks, In: Proceedings of the Second European Conference on Artificial Intelligence in Medicine, London, England, pp. 247\u2013256 (1989)","DOI":"10.1007\/978-3-642-93437-7_28"},{"key":"14_CR6","unstructured":"Kayaalp, M., Cooper, G.F.: A Bayesian Network Scoring Metric That Is Based on Globally Uniform Parameter Priors, pp. 251\u2013258 (2002)"},{"key":"14_CR7","unstructured":"PC Algorithm [Electronic resource]. Access mode. http:\/\/download.hugin.com\/webdocs\/manuals\/Htmlhelp\/descr_PC_algorithm_pane.html"},{"key":"14_CR8","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1613\/jair.764","volume":"13","author":"J Cheng","year":"2000","unstructured":"Cheng, J., Druzdzel, M.J.: AIS-BN: an adaptive importance sampling algorithm for evidential reasoning in large bayesian networks. J. Artif. Intell. Res. (JAIR) 13, 155\u2013188 (2000)","journal-title":"J. Artif. Intell. Res. (JAIR)"},{"key":"14_CR9","unstructured":"Friedman, N.: The Bayesian structural EM algorithm. In: Fourteenth conference on Uncertainty in Artificial Intelligence (UAI 1998), Madison, Wisconsin, USA, 24\u201326 July, SF.: Morgan Kaufmann, pp. 129\u2013138 (1998)"},{"key":"14_CR10","doi-asserted-by":"publisher","unstructured":"Romanko, O., Voronenko, M., Savina, N., Zhorova, I., W\u00f3jcik, W., Lytvynenko, V.: The use of static bayesian networks for situational modeling of national economy competitiveness. In: IEEE International Conference on Advanced Trends in Information Theory (ATIT), pp. 501\u2013505, Kyiv, Ukraine (2019). https:\/\/doi.org\/10.1109\/atit49449.2019.9030515","DOI":"10.1109\/atit49449.2019.9030515"},{"key":"14_CR11","unstructured":"Lytvynenko, V., Voronenko, M., Sitalo, S., Boskin, O., Lurie, I., Savina, N., Tanasiichuk, Y. Krugla, N.: Using a Bayesian Network to Assess the Atmospheric Pollution Influence on Immunological Parameters. In: 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), Lviv, Ukraine, November 11\u201313, pp. 222\u2013233 (2019). urn:nbn:de:0074-2488-2, http:\/\/www.ceur-ws.org\/Vol-2488\/"},{"key":"14_CR12","doi-asserted-by":"publisher","unstructured":"Voronenko, M., Lurie, I., Boskin, O., Zhunissova, U., Baranenko, R., Lytvynenko, V.: Using bayesian methods for predicting the development of children Autism. In: IEEE International Conference on Advanced Trends in Information Theory (ATIT 2019), Kyiv, Ukraine, pp. 525\u2013529 (2019). https:\/\/doi.org\/10.1109\/atit49449.2019.9030523","DOI":"10.1109\/atit49449.2019.9030523"},{"key":"14_CR13","unstructured":"Cobb, B.R., Shenoy, P.P.: A Comparison of Bayesian and Belief Function Reasoning. Working Paper No. 292, University of Kansas School of Business (2002). http:\/\/citeseer.ist.psu.edu\/cobb02comparison.html"},{"key":"14_CR14","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1023\/A:1007469629108","volume":"29","author":"D Chickering","year":"1997","unstructured":"Chickering, D., Heckerman, D.: Efficient approximations for the marginal likelihood of bayesian networks with hidden variables. Machine Learn. 29, 181\u2013212 (1997)","journal-title":"Machine Learn."},{"issue":"1","key":"14_CR15","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s10846-005-9018-0","volume":"45","author":"KA Tahboub","year":"2006","unstructured":"Tahboub, K.A.: Intelligent human-machine interaction based on dynamic bayesian networks probabilistic intention recognition. J. Intell. Robot. Syst. 45(1), 31\u201352 (2006)","journal-title":"J. Intell. Robot. Syst."},{"key":"14_CR16","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1023\/A:1024521532441","volume":"7","author":"C Agostinelli","year":"2003","unstructured":"Agostinelli, C., Rotondi, R.: Using Bayesian belief networks to analyze the stochastic dependence between interevent time and size of earthquakes. J. Seismology 7, 281\u2013299 (2003)","journal-title":"J. Seismology"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Lytvynenko, V., Savina, N., Krejci, J., Fefelov, A., Lurie, I., Voronenko, M., Lopushynskyi, I., Vorona, P.: Dynamic bayesian networks in the problem of localizing the narcotic substances distribution, pp. 421\u2013438. Springer, AISC 1080 (2019)","DOI":"10.1007\/978-3-030-33695-0_29"},{"key":"14_CR18","series-title":"Lecture Notes in Mathematics","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1007\/BFb0069178","volume-title":"Combinatorial Mathematics V","author":"RW Robinson","year":"1977","unstructured":"Robinson, R.W.: Counting unlabeled acyclic digraphs. In: Little, C.H.C. (ed.) Combinatorial Mathematics V. LNM, vol. 622, pp. 28\u201343. Springer, Heidelberg (1977). https:\/\/doi.org\/10.1007\/BFb0069178"},{"key":"14_CR19","first-page":"146","volume":"1","author":"C Smaili","year":"2007","unstructured":"Smaili, C., Najjar, M.E., Charpillet, F.: Multi-sensor fusion method using dynamic bayesian network for precise vehicle localization and road matching. ICTAI 1, 146\u2013151 (2007)","journal-title":"ICTAI"},{"key":"14_CR20","unstructured":"Kj\u00e6rulff, U., van der Gaag, L.C.: Making sensitivity analysis computationally efficient. In: Uncertainty in Artificial Intelligence: Proceedings of the Sixteenth Conference (UAI-2000), pp. 317\u2013325. San Francisco, CA: Morgan Kaufmann Publishers (2000)"},{"key":"14_CR21","doi-asserted-by":"crossref","unstructured":"Savina, N., Romanko, O.,\u00a0Gromaszek, K., Smailova, S.: Information technology for evaluation of innovation indicators influence and investment activity on competitiveness of the region. In: Proceedings SPIE. 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (2019)","DOI":"10.1117\/12.2537073"},{"key":"14_CR22","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.envsoft.2012.10.001","volume":"40","author":"JA Fernandes","year":"2013","unstructured":"Fernandes, J.A., Lozano, J.A., Inza, I., Irigoien, X., P\u0439rez, A., Rodr\u043dguez, J.D.: Supervised pre-procesing approaches in multiple class variables classification for fish recruitment forecasting. Environ. Modell. Software 40, 245\u2013254 (2013)","journal-title":"Environ. Modell. Software"},{"key":"14_CR23","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1016\/j.ecolmodel.2006.11.033","volume":"203","author":"L Uusitalo","year":"2007","unstructured":"Uusitalo, L.: Advantages and challenges of Bayesian networks in environmental modelling. Ecol. Modell. 203, 312\u2013318 (2007)","journal-title":"Ecol. Modell."},{"key":"14_CR24","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1080\/01621459.1992.10476265","volume":"87","author":"SL Lauritzen","year":"1992","unstructured":"Lauritzen, S.L.: Propagation of probabilities, means and variances in mixed graphical association models. J. Am. Stat. Assoc. 87, 1098\u20131108 (1992)","journal-title":"J. Am. Stat. Assoc."},{"key":"14_CR25","unstructured":"Leray, P., Francois, O.: BNT structure learning package: documentation and experiments. Technical report, laboratory PSI-INSA Rouen-FRE CNRS 2645, November 2004, p. 27 (1992)"},{"key":"14_CR26","unstructured":"Lytvynenko, V., Savina, N., Voronenko, M., Pashnina, A., Baranenko, R., Krugla, N., Lopushynskyi, I.: Development of the dynamic bayesian network to evaluate the national law enforcement agencies\u2019 work. In: \u201cThe crossing point of Intelligent Data Acquisition & Advanced Computing Systems and East & West Scientists\u201d (IDAACS-2019), pp. 418\u2013424, September 18\u201321, Metz, France (2019) IEEE Catalog number: CFP19803-USB ISBN: 978-1-7281-4068-1"},{"key":"14_CR27","doi-asserted-by":"crossref","unstructured":"Parsons, S.: Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman, MIT Press, 1231\u00a0pp, ISBN 0-262-01319-3. The Knowledge ngineering Review 26.2, 237\u2013238 (2011)","DOI":"10.1017\/S0269888910000275"},{"key":"14_CR28","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1109\/69.494161","volume":"8","author":"W Buntine","year":"1996","unstructured":"Buntine, W.: A guide to the literature on learning graphical models. IEEE Trans. Knowl. Data Eng. 8, 195\u2013210 (1996)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"14","key":"14_CR29","doi-asserted-by":"publisher","first-page":"2295","DOI":"10.1016\/j.patrec.2005.04.005","volume":"26","author":"JM Pe\u00f1aa","year":"2005","unstructured":"Pe\u00f1aa, J.M., Bj\u00f6rkegrenb, J., Tegn\u00e9r, J.: Learning dynamic Bayesian network models via cross-validation. Pattern Recogn. Lett. 26(14), 2295\u20132308 (2005)","journal-title":"Pattern Recogn. Lett."},{"key":"14_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1007\/978-3-540-72393-6_51","volume-title":"Advances in Neural Networks \u2013 ISNN 2007","author":"S Gao","year":"2007","unstructured":"Gao, S., Xiao, Q., Pan, Q., Li, Q.: Learning Dynamic Bayesian Networks Structure Based on Bayesian Optimization Algorithm. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds.) ISNN 2007. LNCS, vol. 4492, pp. 424\u2013431. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-72393-6_51"},{"issue":"4","key":"14_CR31","first-page":"50","volume":"45","author":"W Hui","year":"2013","unstructured":"Hui, W., Guoping, T., Shuangcheng, W.: Dynamic Bayesian network Method to analyze the factors that affect economic growth. J. Northeast Normal Univ. (Nat. Sci. Edition) 45(4), 50\u201354 (2013)","journal-title":"J. Northeast Normal Univ. (Nat. Sci. Edition)"},{"key":"14_CR32","unstructured":"D.S. Laboratory: GeNIe & SMILE. (1998). http:\/\/genie.sis.pitt.edu\/about.html#genie"},{"issue":"2","key":"14_CR33","first-page":"374","volume":"35","author":"N Xiaohong","year":"2014","unstructured":"Xiaohong, N., Yingfei, S.: Bayesian network learning algorithm of non stationary dynamic fusion of multi data source. Mini Micro Syst. 35(2), 374\u2013378 (2014)","journal-title":"Mini Micro Syst."}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Intelligent Systems and Computing V"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63270-0_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T08:11:59Z","timestamp":1608624719000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-63270-0_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,23]]},"ISBN":["9783030632694","9783030632700"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63270-0_14","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,12,23]]},"assertion":[{"value":"23 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSIT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference on Computer Science and Information Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zbarazh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ukraine","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"V","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csit2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/csit.lp.edu.ua","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}