Big datala eclosión de los datos

  1. Vidal Alonso Secades 1
  1. 1 Universidad Pontificia de Salamanca
    info

    Universidad Pontificia de Salamanca

    Salamanca, España

    ROR https://ror.org/02jj93564

Revista:
Cuadernos salmantinos de filosofía
  1. Andaluz Romanillos, Ana María (coord.)
  2. Conderana Cerrillo, Jesús Manuel (coord.)

ISSN: 0210-4857

Año de publicación: 2015

Título del ejemplar: Marceliano Arranz Rodrigo

Número: 42

Páginas: 315-330

Tipo: Artículo

Otras publicaciones en: Cuadernos salmantinos de filosofía

Referencias bibliográficas

  • ARRANZ, M.; ALONSO, V.; LOPEZ, A. J. (2004), “Formación del Profesorado y TIC. Nuevas Tendencias”. En: Ponencias, Comunicaciones y Talleres del III Congreso Regional de Tecnologías de la Información y de la Comunicación. Salamanca: Junta de Castilla y León, 45-54.
  • ARRANZ, O.; ALONSO, V., (2013), “Big Data & Learning Analytics: A Potential Way to Optimize Elearning Technological Tools”. En: Proceedings IADIS International Conference eLearning 2013. Praga: República Checa: IADIS Press, 313-317.
  • BAKER, R. (2009), Data Mining for Education. Pittsburgh: Carnegie Mellon University, 4-6.
  • BALDI, P.; FRASCONI, P.; SMYTH, P. (2003), Modeling the Internet and the Web: Probabilistic Methods and Algorithms. West Sussex, England: John Wiley & Sons, 212-232.
  • BORGLUND, A.; ENGVALL, T. (2014), “Open Data? Data, Information, Document or Record?”. Records Management Journal, Vol. 24, Issue. 2, 2014, 163-180.
  • DEAN, J. (2014), Big Data, Data Mining and Machine Learning. Hoboken, New Jersey: John Wiley & Sons, 3-21.
  • DIEBOLD, F.X. (2003), “’Big Data’ Dynamic Factor Models for Macroeconomic Measurement and Forecasting” (Discussion of Reichlin and Watson papers). En: DEWATRIPONT, M., HANSEN, L.P. and TURNOVSKY, S. (Eds.), Advances in Economics and Econometrics, Eighth World Congress of the Econometric Society. Cambridge: Cambridge University Press.
  • FERGUSON, R. (2012), The State of Learning Analytics in 2012: A Review and Future Challenges. Technical Report KMI-12-01. [En línea]. UK: Knowledge Media Institute, The Open University. <http://kmi.open.ac.uk/publications/techreport/kmi-12-01>. [Consulta: 14 mar. 2015].
  • GIUDICI, P. (2003), Applied Data Mining: Statistical Methods for Business and Industry. West Sussex, England: John Wiley & Sons, 209-226.
  • HERNÁNDEZ, J.; RAMIREZ, M.J.; FERRI, C. (2004), Introducción a la Minería de Datos. Madrid: Pearson Educación, 22-25.
  • HOWARD, H. (2013), Knowledge Discovery in Databases. [En línea]. <http://www2.cs.uregina.ca/~dbd/cs831/index.html>. [Consulta: 17 abr. 2015].IBM, (2013), Analytics: The Real World Use of Big Data. How Innovative Enterprises Extract Value from Uncertain Data. Executive Report. [En línea]. IBM Institute for Business Value. < http://www-01.ibm.com/com-mon/ssi/cgi-bin/ssialias?infotype=PM&subtype=XB&htmlfid=GBE03521USEN#loaded >. [Consulta: 17 abr. 2015].
  • JAGADISH, H.; GEHRKE, J.; LABRINIDIS, A.; PAPAKONSTANTINOU, Y.; PATEL, J.; RAMAKRISHNAN, R.; SHAHABI, C. (2014), “Big Data and its Technical Challenges”. Communications of the ACM, Vol. 57, Num. 7, 2014, 86-94.
  • JOHNSON, L.; ADAMS, S.; ESTRADA, V.; FREEMAN, A. (2014), NMC Horizon Report: 2014 K-12Edition. Austin, Texas: The New Media Consortium, 40-42.
  • JOYANES, L. (2014), Big Data: Análisis de Grandes Volúmenes de Datos en Organizaciones. México: Mancorbo, 327-344.
  • MANYIKA, J.; CHUI, M.; BROWN, B.; BUGHIN, J.; DOBBS, R.; ROXBURGH, C.; HUNG, A. (2011), Big Data: The Next Frontier for Innovation, Competition, and Productivity. Executive Summary. [En línea]. McKinsey Global Institute. <http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation>. [Consulta: 14 abr. 2015].
  • MIT, (2014), Big Data Privacy Workshop: Advanced the State of the Art in Technology and Practice. [En línea]. Cambridge: Massachusetts Institute Technology,. <http://web.mit.edu/bigdata-priv/images/MITBigDataPriva-cyWorkshop2014_final05142014.pdf>. [Consulta: 28 abr. 2015].
  • O ́BRIEN, A. (2012), The Impact of Big Data on Government. [En línea]. IDC Government. <http://www.ironmountain.com/Knowledge-Center/Reference-Library/View-by-Document-Type/White-Papers-Briefs/Spon-sored/IDC/The-Impact-of-Big-Data-on-Government.aspx>. [Consulta: 26 abr. 2015].
  • PIEDRABUENA, A.; CRIADO, L. (2012), “OpenData, Oportunidad Escondida y Semilla de la Web Semántica”. RUIDERAe: Revista de Unidades de Información, Num. 2, 2012, 1-21.
  • RUTTER, T. (2014), How Big Data is Transforming Public Services. [En línea]. <ww.theguardian.com/public-leaders-network/2014/apr/17/big-data-gov-ernment-public-services-expert-views>. [Consulta: 26 abr. 2015].
  • SÁNCHEZ, O. (2014), “Learning Analytics, el Big Data en Versión Educativa”. En: El Blog d’UPCnet. [En línea]. <http://blog.upcnet.es/learning-analyt-ics-el-big-data-en-version-educativa/>. [Consulta: 6 abr. 2015].
  • SCHÖNBERGER, V.; CUKIER, K. (2014), Big Data: A Revolution that will Transform How we Live, Work and Think. Boston, New York: Mariner Books, 6-12.
  • SHUEH, J. (2014), Big Data Could Bring Governments Big Benefits. [En línea]. <http://www.govtech.com/data/Big-Data-Could-Bring-Governments-Big-Benefits.html#.VTVHnuaPjfg.mailto>. [Consulta: 26 abr. 2015].
  • TOFFLER, A. (1980), The Third Wave. New York, William Morrow and Company.
  • TREVITT, C.; BREMAN, E.; STOCKS, C. (2012), “Assessment and Learning: Is it Time to Rethink Student ́ Activities and Academic Roles?”. Revista de Investigación Educativa, Vol. 2, Num 30, 2012, 253-267.
  • WEST, D. (2012), Big Data for Education: Data Mining, Data Analytics, and Web Dashboards. [En línea]. Governance Studies, the Brookings Institu-tion,. <http://www.brookings.edu/research/papers/2012/09/04-educa-tion-technology-west>. [Consulta: 23 abr. 2015].WOOD, D.; ZAIDMAN, M.; RUTH, L. (2014), Linked Data: Structured Data on the Web. Shelter Island, New York: Manning Publications, 212-232.