Top

Published in:

2019 | OriginalPaper | Chapter

Application of the Requirements Elicitation Process for the Construction of Intelligent System-Based Predictive Models in the Education Area

Authors : Cinthia Vegega, Pablo Pytel, María Florencia Pollo-Cattaneo

Published in: Applied Informatics

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Decision-making is an essential process in the lives of organizations. While each member in an organization makes decisions, this process is particularly important for managerial positions in charge of making decisions on resources allocation. These decisions must be based on predictions about time, effort and/or risks involved in their tasks. Currently, this situation is exacerbated by the complex environment surrounding the organizations, which makes them act beyond their traditional management systems incorporating new mechanisms such as those provided by Artificial Intelligence, leading to the development of an Intelligent Predictive Model. In this context, this work proposes the implementation of a process to assist the Information Systems Engineer in the difficult work of collecting, understanding, identifying and registering the necessary information to implement an Intelligent System-based Predictive Model.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Analysis of Usability of Various Geosocial Network POI in Tourism

next chapter Evaluating Student Learning Effect Based on Process Mining

De Kohan, N.C.: Los sesgos cognitivos en la toma de decisiones. Int. J. Psychol. Res. 1(1), 68–73 (2008). ISSN 2011-7922

Robbins, S., Coulter, M.: Administración, Décima Edición. Prentice Hall, Upper Saddle River (2010). ISBN: 978-607-442-388-4

Mair, C., et al.: An investigation of machine learning based prediction systems. J. Syst. Softw. 53(1), 23–29 (2000)CrossRef

García, F.J.M., Martínez, M.A.P., García, J.S.: Gestión Estratégica del Conocimiento. Asociación Universitaria Iberoamericana de Postgrado (2003)

Nilsson, N.J.: Principles of Artificial Intelligence. Morgan Kaufmann, Burlington (2014)MATH

Russell, S.J., Norvig, P., Davis, E., Russell, S.J., Russell, S.J.: Artificial Intelligence: A Modern Approach, vol. 2. Prentice Hall, Englewood Cliffs (2010)MATH

Shepperd, M., Kadoda, G.: Comparing software prediction techniques using simulation. IEEE Trans. Softw. Eng. 27(11), 1014–1022 (2001)CrossRef

Bontempi, G., Ben Taieb, S., Le Borgne, Y.-A.: Machine learning strategies for time series forecasting. In: Aufaure, M.-A., Zimányi, E. (eds.) eBISS 2012. LNBIP, vol. 138, pp. 62–77. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-36318-4_3CrossRef

Wang, S.-C.: Artificial neural network. In: Wang, S.-C. (ed.) Interdisciplinary Computing in Java Programming. SECS, vol. 743, pp. 81–100. Springer, Boston (2003). https://doi.org/10.1007/978-1-4615-0377-4_5CrossRef

10.

Wang, L., Fu, K.: Artificial neural networks. In: Wiley Encyclopedia of Computer Science and Engineering, pp. 181–188 (2009)

11.

Barber, D.: Bayesian Reasoning and Machine Learning. The MIT Press, Cambridge (2012)MATH

12.

Premchaiswadi, W. (ed.): Bayesian Networks. In-Tech. (2012)MATH

13.

Chatfield, C.: The Analysis of Time Series: An Introduction. CRC Press, Boca Raton (2016)MATH

14.

De Gooijer, J.G., Hyndman, R.J.: 25 years of time series forecasting. Int. J. Forecast. 22(3), 443–473 (2006)CrossRef

15.

Zhang, G., Hu, M.Y.: Neural network forecasting of the British pound/US dollar exchange rate. Omega Int. J. Manag. Sci. 26(4), 495–506 (1998)CrossRef

16.

Cohen, P.R., Feigenbaum, E.A.: The Handbook of Artificial Intelligence, vol. 3. Butterworth-Heinemann, Oxford (2014)MATH

17.

Acquatela, H.: La predicción del futuro: desde el oráculo de Delfos hasta la medicina actual. Gac. méd. Caracas 114(2), 150–156 (2006). ISSN 0367-4762

18.

Rodríguez, M., Márquez Alegría, M.: Manejo de problemas y toma de decisiones, vol. 8. Editorial El Manual Moderno (2015). SBN: 9789684264670

19.

Arsham, H.: Tools for decision analysis: analysis of risky decisions (2006)

20.

Universidad Tecnológica Nacional – Facultad Regional Buenos Aires. Programa de la carrera Ingeniería en Sistemas de Información (Plan 2008). DISI (2008). https://tinyurl.com/y2kb36xv

21.

Gómez, A., Juristo, N., Montes, C., Pazos, J.: Ingeniería del Conocimiento. Centro de Estudios Ramón Areces. S.A. Madrid (1997)

22.

Vegega, C., Pytel, P., Straccia, L., Pollo-Cattaneo, M.F.: Evaluation of the bias of student performance data with assistance of expert teacher. In: Florez, H., Diaz, C., Chavarriaga, J. (eds.) ICAI 2018. CCIS, vol. 942, pp. 16–31. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01535-0_2. ISSN: 1865-0937CrossRef

23.

Vegega, C., Pytel, P., Straccia, L., Pollo-Cattaneo, M.F.: Proceso de Selección de Arquitectura a fin de Implementar un Modelo Predictivo Inteligente. Memorias de 6to. Congreso Nacional de Ingeniería Informática y Sistemas de Información (CONAIISI 2018). Workshop de Aplicaciones Informáticas y de Sistemas de Información (2018). https://tinyurl.com/y6nzhjnv. ISSN 2347-0372

24.

Vegega, C., Pytel, P., Pollo-Cattaneo M.F.: Método Evaluador de Arquitectura - Desempeño de Alumnos de Sistemas y Organizaciones (2017). https://bit.ly/2YwE5UM

25.

BayesFusion: BayesFusion - Home Page for users of GeNIe. BayesFusion LLC (2015). https://www.bayesfusion.com/

Title: Application of the Requirements Elicitation Process for the Construction of Intelligent System-Based Predictive Models in the Education Area
Authors: Cinthia Vegega
Pablo Pytel
María Florencia Pollo-Cattaneo
Publisher: Springer International Publishing
Book: Applied Informatics
Print ISBN: 978-3-030-32474-2

Electronic ISBN: 978-3-030-32475-9

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-32475-9_4

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner