Concept Lattices
Editat de Peter Eklunden Limba Engleză Paperback – 10 feb 2004
Preț: 382.69 lei
Nou
Puncte Express: 574
Preț estimativ în valută:
67.72€ • 79.41$ • 59.47£
67.72€ • 79.41$ • 59.47£
Carte tipărită la comandă
Livrare economică 09-23 februarie 26
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783540210436
ISBN-10: 3540210431
Pagini: 428
Ilustrații: X, 418 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.65 kg
Ediția:2004
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540210431
Pagini: 428
Ilustrații: X, 418 p.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.65 kg
Ediția:2004
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Preconcept Algebras and Generalized Double Boolean Algebras.- Protoconcept Graphs: The Lattice of Conceptual Contents.- Signs and Formal Concepts.- A Mathematical Model for TOSCANA-Systems: Conceptual Data Systems.- BLID: An Application of Logical Information Systems to Bioinformatics.- Formal Concept Analysis: Its Role in Teaching Lattice Theory.- Concept Lattices for Information Visualization: Can Novices Read Line-Diagrams?.- Browsing Search Results via Formal Concept Analysis: Automatic Selection of Attributes.- Formal Concept Analysis and Semantic File Systems.- Numerical Analysis in Conceptual Systems with ToscanaJ.- Tool Support for FCA.- Automated Lattice Drawing.- Congruences of Finite Distributive Concept Algebras.- When Is a Concept Algebra Boolean?.- Background Knowledge in Concept Graphs.- Agreement Contexts in Formal Concept Analysis.- Towards a Conceptual Theory of Indistinguishable Objects.- Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies.- A First Step towards Protoconcept Exploration.- Geometry of Data Tables.- Concept Extensions and Weak Clusters Associated with Multiway Dissimilarity Measures.- Unlocking the Semantics of Roget’s Thesaurus Using Formal Concept Analysis.- FCA in Knowledge Technologies: Experiences and Opportunities.- Applying Formal Concept Analysis to Description Logics.- Machine Learning and Formal Concept Analysis.- A Comparative Study of FCA-Based Supervised Classification Algorithms.- Modelling Tacit Knowledge via Questionnaire Data.- Predicate Invention and the Revision of First-Order Concept Lattices.- The Power of Peircean Algebraic Logic (PAL).- Formal Concept Analysis for Knowledge Discovery and Data Mining: The New Challenges.- AddIntent: A New Incremental Algorithm for Constructing ConceptLattices.- QuDA: Applying Formal Concept Analysis in a Data Mining Environment.- A Parallel Algorithm to Generate Formal Concepts for Large Data.- Using Concept Lattices for Requirements Reconciliation.
Caracteristici
Includes supplementary material: sn.pub/extras