El camino desde la Inteligencia Artificial al Big Data

• Antonio Berlanga ^[1]
  1. [1] Universidad Carlos III de Madrid

     Universidad Carlos III de Madrid

     Madrid, España

     
• Localización: Indice: Revista de Estadística y Sociedad, ISSN-e 1696-9359, Nº. 68, 2016 (Ejemplar dedicado a: Big data), págs. 9-11
• Idioma: español
• Enlaces
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• Dialnet Métricas: 6 Citas
• Resumen

  • Un recorrido por el desarrollo de la Inteligencia Artificial y sus paradigmas, en especial el Aprendizaje Automático, que va a proveer de muchos de los algoritmos que se aplican en el tratamiento automático de grandes volúmenes de datos no estructurados, conocido con el término de “Big Data”.

• Referencias bibliográficas
  • S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Third edition. 2014.
  • R. R. Kline, “Cybernetics, automata studies, and the dartmouth conference on artificial intelligence,” IEEE Ann. Hist. Comput., vol. 33, no....
  • A. Newell, “Physical Symbol Systems*,” Cogn. Sci., vol. 4, no. 2, pp. 135–183, Apr. 1980.
  • P. V. S. Ponnapalli, “Introduction to expert systems. 2nd edn, P. Jackson, Addison-Wesley, Wokingham, 1990, ISBN 0-201-17578-9, xi + 526pp....
  • J. Biegel and U. G. Gupta, “Expert systems in manufacturing: Promises and perils,” Comput. Ind. Eng., vol. 19, no. 1–4, pp. 127–130, Jan....
  • P. SZOLOVITS, R. S. PATIL, and W. B. SCHWARTZ, “Artificial Intelligence in Medical Diagnosis,” Ann. Intern. Med., vol. 108, no. 1, p. 80,...
  • Z. Z. Zhang, G. S. Hope, and O. P. Malik, “Expert systems in electric power systems-a bibliographical survey,” IEEE Trans. Power Syst., vol....
  • B. K. Wong and J. A. Monaco, “Expert system applications in business: A review and analysis of the literature (1977–1993),” Inf. Manag., vol....
  • Shu-Hsien Liao, “Expert system methodologies and applications—a decade review from 1995 to 2004,” Expert Syst. Appl., vol. 28, no. 1, pp....
  • T. Gupta and B. K. Ghosh, “A survey of expert systems in manufacturing and process planning,” Comput. Ind., vol. 11, no. 2, pp. 195–204, Jan....
  • T. M. Mitchell, Machine Learning. McGraw-Hill, Inc., 1997.
  • P. Domingos, “A few useful things to know about machine learning,” Commun. ACM, vol. 55, no. 10, p. 78, Oct. 2012.
  • J. Han, M. Kamber, and J. (Computer scientist) Pei, Data mining: concepts and techniques. Elsevier/Morgan Kaufmann, 2012.
  • I. Bose and R. K. Mahapatra, “Business data mining — a machine learning perspective,” Inf. Manag., vol. 39, no. 3, pp. 211–225, 2001.
  • I. H. (Ian H. . Witten and E. Frank, Data mining : practical machine learning tools and techniques. Morgan Kaufman, 2005.
  • S.-H. Liao, P.-H. Chu, and P.-Y. Hsiao, “Data mining techniques and applications – A decade review from 2000 to 2011,” Expert Syst. Appl.,...
  • M. Cox and D. Ellsworth, “Application-controlled demand paging for out-ofcore visualization,” in Proceedings. Visualization ’97 (Cat. No....
  • D. Laney, “3D Data Management: Controlling Data Volume, Velocity and Variety,” 2001.
  • A. Gandomi and M. Haider, “Beyond the hype: Big data concepts, methods, and analytics,” Int. J. Inf. Manage., vol. 35, pp. 137–144, 2015.
  • M. Batty, K. W. Axhausen, F. Giannotti, A. Pozdnoukhov, A. Bazzani, M. Wachowicz, G. Ouzounis, and Y. Portugali, “Smart cities of the future,”...
  • M. Chen, S. Mao, and Y. Liu, “Big Data: A Survey,” Mob. Networks Appl., vol. 19, no. 2, pp. 171–209, Apr. 2014.
  • S. Yin and O. Kaynak, “Big Data for Modern Industry: Challenges and Trends [Point of View],” Proc. IEEE, vol. 103, no. 2, pp. 143–146, Feb....
  • W. Fan and A. Bifet, “Mining big data,” ACM SIGKDD Explor. Newsl., vol. 14, no. 2, p. 1, Apr. 2013.