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Annals of Computer Science and Information Systems, Volume 8

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems

Knowledge Acquisition at the Time of Big Data

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DOI: http://dx.doi.org/10.15439/2016F001

Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 13431348 ()

Full text

Abstract. What is exactly ‘Big Data', and for what purpose and application is it really efficient? Between the commercial promises made by the industrial actors and the Cassandra's cautions from some whistle-blowers, we propose a singular Big Data field to investigate with Inductive Data-Driven Algorithms: developing collections. Last but not least, we investigate the innovative possibility to curate ‘figural' collections, characterized by Jean Piaget as follows: ``A figural collection composes a figure, through the spatial relationships between its elements, whereas non-figural collections and classes are free of any figure''. Thus, we incidentally disclose some important Abstract Truth of Big Data.

References

  1. C. Anderson: “Makers: The New Industrial Revolution”, New York: Crown Business, 2012.
  2. W. Benjamin: “Paris, capitale du XIXe siècle — le livre des passages”, Le Cerf, 1989.
  3. A. Bonardi: “New Approaches of Theatre and Opera Directly Inspired by Interactive Data- mining”, Proc. Sound & Music Computing Conference, pp. 1-4, Paris, 2004.
  4. P. Brézillon: “Context in Human-Machine Problem Solving: a Survey”, Knowledge Engineering Review, Vol. 14, pp. 1-34, 1999.
  5. D. Fox, and K. Perlin: “Pad: An Alternative Approach to the Computer Interface”, Proc. ACM SIGRAPH, 1993.
  6. A. Gkoulalas-Divanis, Y. Saygin, and V. Verykios: “Special Issue on Privacy and Security Issues in Data Mining and Machine Learning”, Transactions on Data Privacy, Vol. 4, Issue 3, pp. 127-187, December 2011.
  7. L. Hasher, and R. T. Zacks: “Automatic and Effortful Processes in Memory”, Journal of Experimental Psychology, 1979.
  8. E. Morozov: “To Save Everything, Click Here: Technology, Solutionism, and the Urge to Fix Problems that Don't Exist”, FYP Editions, 2014.
  9. F. Pachet, J-J. Aucouturier, A. La Burthe, A. Zils, and A. and Beurive: “Multimedia Tools and Applications,” Special Issue on the CBMI 03 Conference, 2006.
  10. F. Pachet: “Content Management for Electronic Music Distribution: The Real Issues”, Communications of the ACM, 2003.
  11. J. Piaget, and I. Bärbel: “La genèse des structures logiques élémentaires“, Delachaux & Niestlé, 1959.
  12. J. Piaget: “La psychologie de l’enfant”, PUF, 2012.
  13. C. S. Pierce: “Pragmatism – The Logic of Abduction”, Collected Papers, Vol. 5, pp. 196, 1903.
  14. K. Pomian: “Collectionneurs, amateurs et curieux“, Gallimard, 1987.
  15. F. Rousseaux, A. Bonardi, and B. Roadley: « ReCollection: a Disposal/Formal Requirement- Based Tool to Support Sustainable Collection Making », Proc. ICCS Supplement, pp. 131-138, 2008.
  16. A. Rouvroy: “The end(s) of Critique: Data-Behaviourism vs. Due-Process”, Privacy, Due Process and the Computational Turn — Philosophers of Law Meet Philosophers of Technology, Chapter 5, Mireille Hildebrandt & Ekatarina De Vries (eds.), Routledge, 2012.
  17. A. Rouvroy: “Le régime de vérité numérique — de la gouvernementalité algorithmique de fait au nouvel état de droit qu'il lui faut”, séminaire Digital Studies de l’Association Ars Industrialis, 7 octobre 2014.
  18. D. Schwarz, G. Beller, B. Verbrugghe, and S., Britton: “Real-Time Corpus-Based Concatenative Synthesis with CATART”, Proc. DAFx, 2006.
  19. B. Slavkovic, and A. Smith: “Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy”, Journal of Privacy and Confidentiality, Vol. 4, Issue 1, pp. 1-243, 2012.
  20. G. Wajcman, “Collection“, Nous, 1999.