Flexibility in Classification Process - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2018

Flexibility in Classification Process


A whole classification process is the result of a discovery process that requires constant back and forth between theoretical description of the solution, software implementation, testing and refinement of the theoretical description in the light of the results of experimentation. This process is iterative. It should be, always, under the control of the user according to his subjectivity, his knowledge and the purpose of his analysis. In the last years, several platforms for digging data where classification is the main functionality have emerged. Some of these platforms allow a rapid prototyping and support a re-use of existing “computational modules” from existing “computational tool cases”. However, they lack flexibility and sound formal foundations. We propose, in this paper, a formal model with strong logical foundations, based on typed applicative systems. In this model, “computational modules” are considered as operators followed by their operands. A specific processing chain becomes a specific arrangement of a set of modules according to the needs of the user. The model ensures a firm compositionality of this arrangement.
Fichier principal
Vignette du fichier
467079_1_En_25_Chapter.pdf (526.31 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01913903 , version 1 (07-11-2018)





Ismaïl Biskri. Flexibility in Classification Process. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.279-289, ⟨10.1007/978-3-319-89743-1_25⟩. ⟨hal-01913903⟩
35 View
23 Download



Gmail Facebook X LinkedIn More