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Data Management Applied to Service Provision in Banking Environments

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Blockchain and Applications (BLOCKCHAIN 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1238))

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Abstract

This research aims to manage the huge amount of data that companies possess, providing a valuable tool for each of the users involved in the process. The technology derived from the use of the Big Data will allow observing and analyzing the information to assist in the decision-making process of the users of the platform who might be interested. It is intended that the Fintech technologies considered will be able to provide better efficiency and allow optimization of resources.

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References

  1. Martín del Rey, A., Batista, F.K., Queiruga Dios, A.: Malware propagation in Wireless Sensor Networks: global models vs Individual-based models. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 6(3) (2017). ISSN: 2255–2863

    Google Scholar 

  2. Baruque, B., Corchado, E., Mata, A., Corchado, J.M.: A forecasting solution to the oil spill problem based on a hybrid intelligent system. Inf. Sci. 180(10), 2029–2043 (2010)

    Article  Google Scholar 

  3. Durik, B.O.: Organisational metamodel for large-scale multi-agent systems: first steps towards modelling organisation dynamics. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. Salamanca, 6(3) (2017). ISSN: 2255–2863

    Google Scholar 

  4. Bullon, J., et al.: Manufacturing processes in the textile industry. Expert Systems for fabrics production. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 15–23 (2017)

    Google Scholar 

  5. González, C., Burguillo, J.C., Llamas, M., Laza, R.: Designing intelligent tutoring systems: a personalization strategy using case-based reasoning and multi-agent systems. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Salamanca, vol. 2, no. 1 (2013). ISSN: 2255-2863

    Google Scholar 

  6. Casado-Vara, R., Chamoso, P., De la Prieta, F., Prieto, J., Corchado, J.M.: Non-linear adaptive closed-loop control system for improved efficiency in IoT-blockchain management. Inf. Fusion 49, 227–239 (2019)

    Article  Google Scholar 

  7. Casado-Vara, R., Martin-del Rey, A., Affes, S., Prieto, J., Corchado, J.M.: IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings. Fut. Generation Comput. Syst. 102, 965–977 (2020)

    Article  Google Scholar 

  8. Casado-Vara, R., Novais, P., Gil, A.B., Prieto, J., Corchado, J.M.: Distributed continuous-time fault estimation control for multiple devices in IoT networks. IEEE Access 7, 11972–11984 (2019)

    Article  Google Scholar 

  9. Casado-Vara, R., Prieto, J., De la Prieta, F., Corchado, J.M.: How blockchain improves the supply chain: case study alimentary supply chain. Procedia Comput. Sci. 134, 393–398 (2018)

    Article  Google Scholar 

  10. Chamoso, P., González-Briones, A., Rodríguez, S., Corchado, J.M.: Tendencies of technologies and platforms in smart cities: a state-of-the-art review. Wireless Commun. Mob. Comput. 2018, 1–17 (2018)

    Article  Google Scholar 

  11. Choon, Y.W., Mohamad, M.S., Safaai Deris, R.M., Illias, C.K.C., Chai, L.E., Omatu, S., Corchado, J.M.: Differential bees flux balance analysis with OptKnock for in silico microbial strains optimization. PloS One, 9(7), e102744 (2014)

    Google Scholar 

  12. Corchado, J. M., Aiken, J.: Hybrid artificial intelligence methods in oceanographic forecast models. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.), 32(4), 307–313 (2002)

    Google Scholar 

  13. Corchado, J.M., Fyfe, C.: Unsupervised neural method for temperature forecasting. Artif. Intell. Eng. 13(4), 351–357 (1999)

    Article  Google Scholar 

  14. Corchado, J.M., Lees, B.: A hybrid case-based model for forecasting. Appl. Artif. Intell. 15(2), 105–127 (2001)

    Article  Google Scholar 

  15. Corchado, J.M., Corchado, E.S., Aiken, J., Fyfe, C., Fernandez, F., Gonzalez, M.: Maximum likelihood hebbian learning based retrieval method for CBR systems. In: International Conference on Case-Based Reasoning, pp. 107–121. Springer, Heidelberg (2003)

    Google Scholar 

  16. Corchado, J.M., Pavón, J., Corchado, E.S., Castillo, L.F.: Development of CBR-BDI agents: a tourist guide application. In: European Conference on Case-based Reasoning, pp. 547–559. Springer, Heidelberg (2004)

    Google Scholar 

  17. Coria, J.A.G., Castellanos-Garzón, J.A., Corchado, J.M.: Intelligent business processes composition based on multi-agent systems. Expert Syst. Appl. 41(4), 1189–1205 (2014)

    Article  Google Scholar 

  18. Cunha, R., Cleo, B., Diana, A.: Development of a graphical tool to integrate the Prometheus AEOlus methodology and Jason Platform. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., 6(2), 57–70 (2017)

    Google Scholar 

  19. Daniel, A., Roldán, J.C., Ruiz, D., Gallego, F.O.: An approach for discovering keywords from Spanish tweets using Wikipedia. ADCAIJ: Adv. Distrib. Comput. Artificial Intell. J., Salamanca, 4(2) (2015). ISSN: 2255-2863

    Google Scholar 

  20. Díaz, F., Fdez-Riverola, F., Corchado, J.M.: gene-CBR: a case-based reasonig tool for cancer diagnosis using microarray data sets. Comput. Intell. 22(3–4), 254–268 (2006)

    Article  Google Scholar 

  21. Farias, G.P., et al.: Predicting plan failure by monitoring action sequences and duration. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 55–69 (2017)

    Google Scholar 

  22. Fdez-Riverola, F., Corchado, J.M.: Fsfrt: forecasting system for red tides. Appl. Intell. 21(3), 251–264 (2004)

    Google Scholar 

  23. Fdez-Riverola, F., Iglesias, E.L., Díaz, F., Méndez, J.R., Corchado, J.M.: Applying lazy learning algorithms to tackle concept drift in spam filtering. Expert Syst. Appl. 33(1), 36–48 (2007)

    Article  Google Scholar 

  24. Fdez-Riverola, F., Iglesias, E.L., Díaz, F., Méndez, J.R., Corchado, J.M.: SpamHunting: An instance-based reasoning system for spam labelling and filtering. Decision Supp. Syst. 43(3), 722–736 (2007)

    Article  Google Scholar 

  25. Fernández-Riverola, F., Diaz, F., Corchado, J.M.: Reducing the memory size of a fuzzy case-based reasoning system applying rough set techniques. IEEE Trans. Syst. Man Cybern. Part C (Applications and Reviews), 37(1), 138–146 (2006)

    Google Scholar 

  26. Fyfe, C., Corchado, J.M.: Automating the construction of CBR systems using kernel methods. Int. J. Intell. Syst. 16(4), 571–586 (2001)

    Article  MATH  Google Scholar 

  27. Giovani, P.F., Ramon, F.P., Lucas, W.H., Felipe, M., Renata, V., Rafael, H.B.: Predicting plan failure by monitoring action sequences and duration. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 6(2) (2017). ISSN: 2255-2863

    Google Scholar 

  28. Stefania da Silveira, G., et al.: Modeling of circadian rhythm under influence of pain: an approach based on multi-agent simulation. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(2), 17–25 (2018)

    Google Scholar 

  29. Glez-Bedia, M., Corchado, J.M., Corchado, E.S., Fyfe, C.: Analytical model for constructing deliberative agents. Eng. Intell. Syst. Electric. Eng. Commun. 10(3), 173–185 (2002)

    Google Scholar 

  30. González-Briones, A., Prieto, J., De La Prieta, F., Herrera-Viedma, E., Corchado, J.M.: Energy optimization using a case-based reasoning strategy. Sensors 18(3), 865 (2018)

    Article  Google Scholar 

  31. Guillén, J.H., del Rey, A.M., Casado-Vara, R.: Security Countermeasures of a SCIRAS model for advanced malware propagation. IEEE Access 7, 135472–135478 (2019)

    Article  Google Scholar 

  32. Javier, G., Xavier, A., Germán, M., Juan, C.T., Adalberto, P.: AmICog – mobile technologies to assist people with cognitive disabilities in the workplace. DCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 2(4) (2013). ISSN: 2255-2863

    Google Scholar 

  33. Garzón, J.A.C., González, J.R.: A gene selection approach based on clustering for classification tasks in colon cancer. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 4(3) (2015). ISSN: 2255-2863

    Google Scholar 

  34. Kethareswaran, V., Sankar Ram, C.: An indian perspective on the adverse impact of internet of things (IoT). ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 35–40 (2017)

    Google Scholar 

  35. Li, T., Sun, S., Bolić, M., Corchado, J.M.: Algorithm design for parallel implementation of the SMC-PHD filter. Signal Process. 119, 115–127 (2016)

    Article  Google Scholar 

  36. Li, T., Sun, S., Corchado, J. M., Siyau, M.F.: A particle dyeing approach for track continuity for the SMC-PHD filter. In: 17th International Conference on Information Fusion (FUSION), pp. 1–8. IEEE, July 2014

    Google Scholar 

  37. Lima, A.C.E., de Castro, L.N., Corchado, J.M.: A polarity analysis framework for Twitter messages. Appl. Math. Comput. 270, 756–767 (2015)

    MATH  Google Scholar 

  38. Mar, L., Juanita, P., Javier, C., Molina, J.M.: The awareness of Privacy issues in Ambient Intelligence. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 3(2) (2014). (ISSN: 2255–2863)

    Google Scholar 

  39. Martín del Rey, A., Casado Vara, R., Hernández Serrano, D.: Reversibility of symmetric linear cellular automata with radius r = 3. Mathematics 7(9), 816 (2019)

    Article  Google Scholar 

  40. Mata, A., Corchado, J.M.: Forecasting the probability of finding oil slicks using a CBR system. Expert Syst. Appl. 36(4), 8239–8246 (2009)

    Article  Google Scholar 

  41. Mendez, J.R., Fdez-Riverola, F., Diaz, F., Iglesias, E.L., Corchado, J.M.: A comparative performance study of feature selection methods for the anti-spam filtering domain. In: Industrial Conference on Data Mining, pp. 106–120. Springer, Heidelberg (2006)

    Google Scholar 

  42. Miki, U., Naoki, M., Keinosuke, M.: Picture models for 2-scene comics creating system. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 3(2) (2014). ISSN: 2255-2863

    Google Scholar 

  43. Ming, F.S., Li, T., Loo, J.: A novel pilot expansion approach for MIMO channel estimation. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. Salamanca, 3(3) (2014). ISSN: 2255-2863

    Google Scholar 

  44. Morente-Molinera, J.A., Kou, G., González-Crespo, R., Corchado, J.M., Herrera-Viedma, E.: Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods. Knowl. Based Syst. 137, 54–64 (2017)

    Article  Google Scholar 

  45. Moung, E.: A comparison of the YCBCR color space with gray scale for face recognition for surveillance applications. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 25–33 (2017)

    Google Scholar 

  46. Pawel, P., Kamila, K.: Modeling and simulation of bus assembling process using DES/ABS approach. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 6(1) (2017). ISSN: 2255-2863

    Google Scholar 

  47. Ribeiro, C., et al.: Customized normalization clustering meth-odology for consumers with heterogeneous characteristics. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(2), 53–69 (2018)

    Google Scholar 

  48. Ricardo, A.S., Rafaela, L.C., Ronaldo, L.R.C., Jonas, V., Fernando De La, P.: Learning objects recommendation system: issues and approaches for retrieving, indexing and recomend learning objects. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 4(4) (2015). ISSN: 2255-2863

    Google Scholar 

  49. Ricardo, S., Da Silva Bitencourt, G.K., Gelaim, T.A., Marchi, J., De La Prieta, F.: Towards a model of open and reliable cognitive multiagent systems: dealing with trust and emotions. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 4(3) (2015). ISSN: 2255-2863

    Google Scholar 

  50. Saadi, B.A.K., Md Ghanib, N.A., Liong, C-Y., Jemain, A.A.: Firearm classification using neural networks on ring of firing pin impression images. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J., Salamanca, 1(3) (2012). ISSN: 2255-2863

    Google Scholar 

  51. Serna, F.J.A., Iniesta, J.B.: The delimitation of freedom of speech on the Internet: the confrontation of rights and digital censorship. ADCAIJ: Adv. Distrib. Comput. Artificial Intell. J. 7(1), 5–12 (2018)

    Google Scholar 

  52. de Castro, S., Fernando, L., Alves, G.V., Borges, A.P.: Using trust degree for agents in order to assign spots in a Smart Parking (2017)

    Google Scholar 

  53. Srivastava, V., Ravindra, P.: An extension of local mesh peak valley edge based feature descriptor for image retrieval in bio-medical images. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(1), 77–89 (2018)

    Google Scholar 

  54. Tapia, D.I., Corchado, J.M.: An ambient intelligence based multi-agent system for alzheimer health care. Int. J. Ambient Comput. Intell. (IJACI) 1(1), 15–26 (2009)

    Article  Google Scholar 

  55. Tapia, D.I., Fraile, J.A., Rodríguez, S., Alonso, R.S., Corchado, J.M.: Integrating hardware agents into an enhanced multi-agent architecture for Ambient Intelligence systems. Inf. Sci. 222, 47–65 (2013)

    Article  Google Scholar 

  56. Heijmeijer, V.H., Alexis, Alves, G.V.: Development of a middleware between SUMO simulation tool and JaCaMo framework. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(2), 5–15 (2018)

    Google Scholar 

  57. Vanessa, N.C., Hisham, M.H., Hossain, S.: Android malware detection using kullback-leibler divergence. ADCAIJ: Adv. Distrib.Comput. Artif. Intell. J., Salamanca, 3(2) (2014). ISSN: 2255–2863

    Google Scholar 

  58. Vera, J., Stewart, E.: Human rights in the ethical protection of youth in social networks-the case of Colombia and Peru. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 71–79 (2017)

    Google Scholar 

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Acknowledgments

This research is supported by the Ministry of Education of the Junta de Castilla y León and the European Social Fund through a grant from predoctoral recruitment of research personnel associated with the University of Salamanca research project “ROBIN: Robo-advisor intelligent”.

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Authors and Affiliations

  1. BISITE Digital Innovation Hub, University of Salamanca, Edificio Multiusos I+D+I, 37007, Salamanca, Spain

    Elena Hernández Nieves

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  1. Elena Hernández Nieves
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Correspondence to Elena Hernández Nieves .

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Editors and Affiliations

  1. BISITE Research Group, University of Salamanca, Salamanca, Spain

    Javier Prieto

  2. Politecnico do Porto and INESC TEC, Porto, Portugal

    António Pinto

  3. Center for Security, Theory and Algorithmic Research, IIIT, Hyderabad, Telangana, India

    Ashok Kumar Das

  4. Department of Pure and Applied Sciences, University of Urbino, Urbino, Italy

    Stefano Ferretti

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Nieves, E.H. (2020). Data Management Applied to Service Provision in Banking Environments. In: Prieto, J., Pinto, A., Das, A., Ferretti, S. (eds) Blockchain and Applications. BLOCKCHAIN 2020. Advances in Intelligent Systems and Computing, vol 1238. Springer, Cham. https://doi.org/10.1007/978-3-030-52535-4_19

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