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Concept Lattices and Their Applications
First Elements on Knowledge Discovery Guided by Domain Knowledge (KDDK)
other
Author(s):
Jean Lieber
,
Amedeo Napoli
,
Laszlo Szathmary
,
Yannick Toussaint
Publication date
(Print):
2008
Publisher:
Springer Berlin Heidelberg
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Formal Concept Analysis
Bernhard Ganter
,
Rudolf Wille
(1999)
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Mining with rarity
Gary M. Weiss
(2004)
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Comparing performance of algorithms for generating concept lattices
Sergei A. Obiedkov
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Sergei O. Kuznetsov
(2002)
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Book Chapter
Pages
: 22-41
DOI:
10.1007/978-3-540-78921-5_2
SO-VID:
b7416449-92a5-4789-a656-f45d521f1cb8
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Book chapters
pp. 1
An Intelligent User Interface for Browsing and Searching MPEG-7 Images Using Concept Lattices
pp. 22
First Elements on Knowledge Discovery Guided by Domain Knowledge (KDDK)
pp. 42
Formal Concept Analysis as Applied Lattice Theory
pp. 68
Direct Factorization by Similarity of Fuzzy Concept Lattices by Factorization of Input Data
pp. 80
Succinct System of Minimal Generators: A Thorough Study, Limitations and New Definitions
pp. 96
Closure Systems of Equivalence Relations and Their Labeled Class Geometries
pp. 107
Generalizations of Approximable Concept Lattice
pp. 139
Graded LinClosure and Its Role in Relational Data Analysis
pp. 155
Yet Another Approach for Completing Missing Values
pp. 170
Efficient Generic Association Rules Based Classifier Approach
pp. 186
Galois Lattices and Bases for MGK-Valid Association Rules
pp. 198
Generic Association Rule Bases: Are They so Succinct?
pp. 214
Concept Lattice Representations of Annotated Taxonomies
pp. 232
Unique Factorization Theorem and Formal Concept Analysis
pp. 240
Towards Concise Representation for Taxonomies of Epistemic Communities
pp. 256
Towards an Iterative Classification Based on Concept Lattice
pp. 276
Type Signature Induction with FCAType
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