Paper Info
Title
Knowledge Acquisition at the Time of Big Data.
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 Cassandrau0027s 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.
Year
DOI
Venue
2016
10.15439/2016F001
FedCSIS
Keywords
Field
DocType
Term predictive analysis,inductive data-driven algorithms,big data,figural collections,digital societies,search by similarity
Data science,Data mining,Algorithm design,Computer science,Artificial intelligence,Big data,Knowledge acquisition,Machine learning
Conference
Volume
ISSN
Citations 
8
2300-5963
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Francis Rousseaux11816.78
Stephane Cormier274.92