Name: Formal Concept Analysis: 14th International Conference, Icfca 2017, Rennes, France, June 13-16, 2017, Proceedings (en Inglés)
SKU: 58791936
Price: 1122.39 MXN
Availability: InStock
Author: Bertet, Karell ; Borchmann, Daniel ; Cellier, Peggy
ISBN: 9783319592701

portada Formal Concept Analysis: 14th International Conference, Icfca 2017, Rennes, France, June 13-16, 2017, Proceedings (en Inglés)

Formal Concept Analysis: 14th International Conference, Icfca 2017, Rennes, France, June 13-16, 2017, Proceedings (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Bertet, Karell ; Borchmann, Daniel ; Cellier, Peggy

Idioma

Inglés

N° páginas

243

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.4 cm

Peso

0.37 kg.

ISBN13

9783319592701

Categorías

Programación informática/desarrollo de software
Minería de datos («data mining»)
Inteligencia artificial

Formal Concept Analysis: 14th International Conference, Icfca 2017, Rennes, France, June 13-16, 2017, Proceedings (en Inglés)

Bertet, Karell ; Borchmann, Daniel ; Cellier, Peggy (Autor) · Springer · Tapa Blanda

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Reseña del libro "Formal Concept Analysis: 14th International Conference, Icfca 2017, Rennes, France, June 13-16, 2017, Proceedings (en Inglés)"

This book constitutes the proceedings of the 14th International Conference on Formal Concept Analysis, ICFCA 2017, held in Rennes, France, in June 2017. The 13 full papers presented in this volume were carefully reviewed and selected from 37 submissions. The book also contains an invited contribution and a historical paper translated from German and originally published in "Die Klassifkation und ihr Umfeld", edited by P. O. Degens, H. J. Hermes, and O. Opitz, Indeks-Verlag, Frankfurt, 1986.The field of Formal Concept Analysis (FCA) originated in the 1980s in Darmstadt as a subfield of mathematical order theory, with prior developments in other research groups. Its original motivation was to consider complete lattices as lattices of concepts, drawing motivation from philosophy and mathematics alike. FCA has since then developed into a wide research area with applications much beyond its original motivation, for example in logic, data mining, learning, and psychology.