Formal Concept Analysis
Springer Berlin (Verlag)
978-3-642-11927-9 (ISBN)
Invited Talks.- About the Enumeration Algorithms of Closed Sets.- Mathematics Presenting, Reflecting, Judging.- The Role of Concept, Context, and Component for Dependable Software Development.- Statistical Methods for Data Mining and Knowledge Discovery.- Regular Contributions.- Formal Concept Analysis of Two-Dimensional Convex Continuum Structures.- Counting of Moore Families for n=7.- Lattice Drawings and Morphisms.- Approximations in Concept Lattices.- Hardness of Enumerating Pseudo-intents in the Lectic Order.- On Links between Concept Lattices and Related Complexity Problems.- An Algorithm for Extracting Rare Concepts with Concise Intents.- Conditional Functional Dependencies: An FCA Point of View.- Constrained Closed Datacubes.- Conceptual Navigation in RDF Graphs with SPARQL-Like Queries.- An Approach to Exploring Description Logic Knowledge Bases.- On Categorial Grammars as Logical Information Systems.- Describing Role Models in Terms of Formal Concept Analysis.- Approaches tothe Selection of Relevant Concepts in the Case of Noisy Data.- Concept Analysis as a Framework for Mining Functional Features from Legacy Code.- Concept Neighbourhoods in Lexical Databases.- A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing.- History.- Two Basic Algorithms in Concept Analysis.
Erscheint lt. Verlag | 18.2.2010 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XII, 340 p. 91 illus. |
Verlagsort | Berlin |
Sprache | englisch |
Gewicht | 551 g |
Themenwelt | Mathematik / Informatik ► Informatik |
Mathematik / Informatik ► Mathematik ► Algebra | |
Schlagworte | algorithms • Calculus • Complexity • Data Analysis • Databases • Data Mining • Information Retrieval • knowledge management • Logic • machine learning • Order theory |
ISBN-10 | 3-642-11927-1 / 3642119271 |
ISBN-13 | 978-3-642-11927-9 / 9783642119279 |
Zustand | Neuware |
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