Formal Concept Analysis | 14th International Conference, ICFCA 2017, Rennes, France, June 13-16, 2017, Proceedings

Karell Bertet (u. a.)

ISBN 10: 331959270X / ISBN 13: 9783319592701

Published by Springer, 2017

About this Item

Formal Concept Analysis | 14th International Conference, ICFCA 2017, Rennes, France, June 13-16, 2017, Proceedings | Karell Bertet (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xviii | Englisch | 2017 | Springer | EAN 9783319592701 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 109197986

Bibliographic Details

• Title: Formal Concept Analysis | 14th International Conference, ICFCA 2017, Rennes, France, June 13-16, 2017, Proceedings
• Publisher: Springer
• Publication Date: 2017
• Language: English
• ISBN 10: 331959270X
• ISBN 13: 9783319592701
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 15D millimeters 235 millimeters width by 155 millimeters height by 15 millimeters depth
• Weight: 406 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.