Important dimensions in informatization management: integration and intelligence
Keywords:
information integration, computational intelligence, optimization, geographical information systems, informatization, managementAbstract
Nowadays, the informatization of public and business management is a necessity that Cuba has assumed. The informatization management follows a simple-to-complex approach, first focusing on infrastructure and information availability to then allowing digital business, electronic commerce and automation. The goal of this paper is to show the convenience of keeping attention on two important dimensions in the informatization: integration (of data that is currently managed in isolation) and the use of computational intelligence. Thus, we study two cases related to the possible design of services (transportation network design, and victim attention). The argument, based on probable assumptions, demonstrates how these services may be improved base on an integrated and intelligent informatization.
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References
Arboleda LM. Servicios WEB: Distribución e integración. Sistemas y Telemática. S&T. 2006; 2 (4): 107-120. [consultado 11 julio 2019] Disponible en: http://www.icesi.edu.co/contenido/pdfs/larboled_servicios-web.pdf
Russell SJ, Norvig P. Artificial Intelligence: A Modern Approach. 3rd ed. New Jersey: Prentice Hall; 2010. [consultado 11 Febrero 2020] Disponible en: http://www.amazon.es/Artificial- Intelligence-Approach-Pearson-Artificial/dp/0134610997
Ertel W. Introduction to Artificial Intelligence. 2nd ed. Springer International Publishing AG; 2017. [consultado 11 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-3-319-58487-4
Skiena SS. The Data Science Design Manual. Springer; 2017. [consultado 13 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-3-319-55444-0
Hillier FS, Lieberman GJ. Introduction to Operations Research. Ninth ed. New York: McGraw- Hill; 2010. [consultado 11 Febrero 2020] Disponible en: http://www.amazon.com/Introduction- Operations-Research-Frederick-Hillier/dp/0078414474
Talbi EG. Metaheuristics: from design to implementation. New Jersey: John Wiley & Sons; 2009. [consultado 11 julio 2019] Disponible en: http://wiley.com/en- us/Metaheuristics%3A+From+Design+to+Implementation+-p-9780470278581
Wooldridge M. An Introduction to MultiAgent Systems, 2nd ed. United Kingdom: John Wiley & Sons; 2009. [consultado 11 Febrero 2020] Disponible en: http://wiley.com/en- us/An+Introduction+to+MultiAgent+Systems%2C+2nd+Edition-p-9780470519462
Murray AT, Xu J, Wang Z, Chruch RL. Commercial GIS location analytics: capabilities and performance. International Journal of Geographical Information Science. 2019; 33 (5): 1-25. [consultado 14 Mayo 2020] Disponible en: http://tandfonline.com/doi/abs/10.1080/13658816.2019.1572898
Bramer M. Principles of Data Mining. 3rd ed. London: Springer-Verlag; 2016. [consultado 14 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-1-4471-7307- 6
Igual L, Seguí S. Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications. Switzerland: Springer International Publishing; 2017. [consultado 11 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-3-319-50017-1
Bonamente M. Statistics and Analysis of Scientific Data, 2nd ed. New York: Springer Science+Busines Media; 2017. [consultado 12 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-1-4939-6572-4
Kubat M. An Introduction to Machine Learning. 2nd ed. Springer International Publishing AG; 2017. [consultado 11 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-3-319-63913-0
Rayes A, Salam S. Internet of Things From Hype to Reality: The Road to Digitization. 2nd ed. Switzerland: Springer Nature AG; 2019. [consultado 13 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-3-319-99516-8
Gilchrist A. Industry 4.0: The Industrial Internet Of Things. Apress; 2016. [consultado 13 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-1-4842-2047-4
Ivanov D, Tsipoulanidis A, Schönberger J. Global Supply Chain and Operations Management: A Decision-Oriented Introduction to the Creation of Value. 2nd ed. Switzerland: Springer Nature AG; 2019. [consultado 11 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319- 20217-0
Turban E, Outland J, King D, Lee JK, Liang TP, Turban DC. Electronic Commerce: A Managerial and Social Networks Perspective. 9th ed. Springer International Publishing AG; 2018. [consultado 15 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319-58715-8
Tsai CW, Lai CF, Chao HC, Vasilakos AV. Big data analytics: a survey. Journal of Big Data 2015;
(21): 1-32. [consultado 16 Mayo 2020] Disponible en: http://link.springer.com/article/10.1186/s40537-015-0030-3
Pochiraju B, Seshadri S. Essentials of Business Analytics: An Introduction to the Methodology and its Applications. International Series in Operations Research & Management Science. Vol 264. Switzerland: Springer Nature AG; 2019. [consultado 16 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319-68837-4
Van der Aalst W. Process Mining: Data Science in Action. 2nd ed. Berlin Heidelberg: Springer- Verlag; 2016. [consultado 15 Mayo 2020] Disponible en: http://www.springer.com/gp/book/9783662498507
Ebrahimnejad A, Verdegay JL. Fuzzy Sets-Based Methods and Techniques for Modern Analytics. Studies in Fuzziness and Soft Computing. Vol 364. Springer Nature; 2018. [consultado 12 Abril 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319-73903-8
Yang XS, Gandomi AH, Talatahari S, Alavi AH. Metaheuristics in Water, Geotechnical and Transport Engineering. Elsevier; 2012. [consultado 11 Mayo 2020] Disponible en: http://www.elsevier.com/books/metaheuristics-in-water-geotechnical-and-transport- engineering/yang/978-0-12-398296-4
Dignum F, Pavón J. Multi-Agent Systems applications in transport: Preface Special issue. Prog Artif Intell. 2012; 1:137-138. [consultado 11 Mayo 2020] Disponible en: http://link.springer.com/article/10.1007%2Fs13748-012-0010-1
Olszewski R, Turek A. Application of the Spatial Data Mining Methodology and Gamification for the Optimisation of Solving the Transport Issues of the “Varsovian Mordor”. En: Tan Y, Shi Y, eds. Data Mining and Big Data. LNCS Vol 9714. Switzerland: Springer International Publishing; 2016. P. 103-114. [consultado 11 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319-40973-3_10
Skansi S. Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence. Springer Nature; 2018. [consultado 12 Mayo 2020] Disponible en: http://link.springer.com/openurl?genre=book&isbn=978-3-319-73004-2
Tanwar S, Tyagi S, Kumar N. Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions. Singapore: Springer Nature; 2020. [consultado 12 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-981-13-8759-3
Van den Berg P, Wenseleers T. Uncertainty about social interactions leads to the evolution of social heuristics. Nature Communications. 2018; 9 (2151): 1-7. [consultado 11 Mayo 2020] Disponible en: https://www.nature.com/articles/s41467-018-04493-1
Dima Kagan D, Chesney T, Fire M. Using data science to understand the film industry’s gender gap. Palgrave Communications. 2020; 6 (92): 1-16. [consultado 13 Mayo 2020] Disponible en: https://www.nature.com/articles/s41599-020-0436-1
Magoulas R, Swoyer S. AI Adoption in the Enterprise 2020. Beijing: O´Reilly. 2020. [consultado 17 Mayo 2020] Disponible en: http://www.oreilly.com/data/free/ai-adoption-in-the-enterprise.csp
Perrault R, Shoham Y, Brynjolfsson E, Clark J, Etchemendy J, Grosz B, et al.The AI Index 2019 Annual Report. AI Index Steering Committee. Human-Centered AI Institute. Stanford University Stanford, December 2019. [consultado 15 Mayo 2020] Disponible en: http://hai.stanford.edu/
Gómez CD, Díaz JK, Rodríguez JI. Big Data Meaning in the Architecture of IoT for Smart Cities. En: Tan Y, Shi Y, eds. Data Mining and Big Data. LNCS Vol 9714. Switzerland: Springer International Publishing; 2016. P. 457-465. [consultado 12 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319-40973-3_46
Yin RK. Case Study Research: Design and Methods, Fourth ed. California: SAGE Publications; 2009. [consultado 18 Septiembre 2019] Disponible en: http://us.sagepub.com/en- us/nam/author/robert-k-yin
Levenberg L, Neilson T, Rheams D. Research Methods for the Digital Humanities. Palgrave Macmillan; 2018. [consultado 11 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319-96713-4
Runeson P, Host M, Rainer A, Regnell B. Case Study Research In Software Engineering: Guidelines and Examples. John Wiley & Sons; 2012. [consultado 14 Mayo 2020] Disponible en: http://wiley.com/en- us/Case+Study+Research+In+Software+Engineering%3A+Guidelines+and+Examples-p- 9781118181003
Stüber GL. Principles of Mobile Communication. 4th ed. Springer International Publishing; 2017. [consultado 11 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319- 55615-4
Boer A, Van Engers T, Peters R, Winkels R. Separating law from Geography in GIS-based eGovernment services. Artificial Intelligence and Law. 2007; 15: 49-76. [consultado 14 Mayo 2020] Disponible en: http://link.springer.com/artcile/10.1007/s10506-007-9042-4
Kalyvas JR, Overly MR. Big Data: A Business and Legal Guide. Taylor & Francis Group; 2015. [consultado 15 Mayo 2020] Disponible en: http://www.routledge.com/Big-Data-A-Business-and- Legal-Guide/Kalyvas-Overly/p/book/9781466592377
Rahman H. Social and Political Implications of Data Mining: Knowledge Management in E- Government. IGI Global; 2009. [consultado 11 Mayo 2020] Disponible en: http://www.bookdepository.com/es/Social-Political-Implications-Data-Mining-Hakikur- Rahman/9781605662305
Goodchild MF. Citizens as sensors: the world of volunteered geography. Geojournal 2007; 69: 211-
[consultado 14 Mayo 2020] Disponible en: http://link.springer.com/article/10.1007/s10708- 007-9111-y
Bakillah M, Lauer J, Liang S, Zipf A, Arsanjani J, Mobasheri A, et al. Exploiting Big VGI to Improve Routing and Navigation Services. In: Karimi H, ed. Big Data Techniques and Technologies in Geoinformatics. 1st ed. CRP Press; 2014. 177-192. [consultado 13 Mayo 2020] Disponible en:
http://researchgate.net/publication/258340709_Exploiting_Big_VGI_to_Improve_Routing_and_Na vigation_Services
Lendel V, Pancikova L, Falat L. Advanced Predictive Methods of Artificial Intelligence in Intelligent Transport Systems. En: Tan Y, Shi Y, eds. Data Mining and Big Data. LNCS Vol 9714. Switzerland: Springer International Publishing; 2016. P. 165-174. [consultado 10 Mayo 2020] Disponible en: http://link.springer.com/book/10.1007/978-3-319-40973-3_16
Pérez-Cañedo B, Concepción ER. A method to find the unique optimal fuzzy value of fully fuzzy linear programming problems with inequality constraints having unrestricted L-R fuzzy parameters and decision variables. Expert Systems With Applications. 2019; 123: 256-269. [consultado 17 Abril 2020] Disponible en: http://sciencedirect.com/science/article/abs/pii/S0957417419300478
Goldberg DW, Wilson JP, Knoblock C. A. From text to geographic coordinates: the current state of geocoding. URISA Journal. 2007; 19: 33-46. [consultado 12 Febrero 2020] http://researchgate.net/publication/281748610_From_text_to_geographic_coordinates_The_current
_state_of_geocoding
Park J, Kim BI. “The school bus routing problem: A review”, European Journal of Operational Research. 2010; 202: 311-319. [consultado 7 Febrero 2020] Disponible en: http://sciencedirect.com/science/article/pii/S037722170900349X
Chao IM. A tabu search method for the truck and trailer routing problem, Computers & Operation Research. 2002; 29 (1): 33-51. [consultado 11 Febrero 2020] Disponible en: http://researchgate.net/publication/222685777_A_tabu_search_method_for_the_truck_and_trailer_r outing_problem
Rosete A, Paredes D, Sánchez E: Reducción del costo de transportación en las Series Nacionales de Béisbol empleando metaheurísticas, Revista Ingeniería Mecánica. 2013; 16 (3): 257-271. [consultado 11 Febrero 2020] Disponible en: http://www.ingenieriamecanica.cujae.edu.cu/index.php/revistaim/article/view/471
Bansal M, Kianfar K. Planar maximum coverage location problem with partial coverage and rectangular demand and service zones, INFORMS Journal on Computing. 2017; 29 (1): 152-169. [consultado 25 Marzo 2020] Disponible en: http://pubsonline.informs.org/doi/10.1287/ijoc.2016.0722
Church R, ReVelle C. The maximal covering location problem, Papers of the Regional Science Association. 1974; 32 (1): 101-118. [consultado 3 Marzo 2020] Disponible en: http://link.springer.com/article/10.1007/BF01942293
Miller HJ, Han JW. Geographic Data Mining and Knowledge Discovery. 2nd ed. Taylor & Francis Group LLC; 2009. [consultado 15 Mayo 2020] Disponible en: http://www.routledge.com/Geographic-Data-Mining-and-Knowledge-Discovery-2nd- Edition/Miller-Han/p/book/9781420073973
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Copyright (c) 2020 Alejandro Rosete Suárez , Mailyn Moreno Espino , Eduardo Sánchez Ansola , Cynthia Porras Nodarse
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