Knowledge Acquisition at the Time of Big Data

Francis Rousseaux, Stéphane Cormier

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 1343–1348 (2016)

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.

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