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» Using Formal Concept Analysis in Mathematical Discovery
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PARMA
2004
136views Database» more  PARMA 2004»
14 years 11 months ago
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis
Abstract. We are designing new data mining techniques on gene expression data, more precisely inductive querying techniques that extract a priori interesting bi-sets, i.e., sets of...
Céline Robardet, Ruggero G. Pensa, Jé...
99
Voted
SAC
2008
ACM
14 years 9 months ago
Adding background knowledge to formal concept analysis via attribute dependency formulas
We present a way to add user's background knowledge to formal concept analysis. The type of background knowledge we deal with relates to relative importance of attributes in ...
Radim Belohlávek, Vilém Vychodil
85
Voted
CLA
2007
14 years 11 months ago
Concept Graphs as Semantic Structures for Contextual Judgment Logic
Abstract. This paper presents a mathematization of the philosophical doctrine of judgments as an extension of the mathematization of the philosophical doctrine of concepts develope...
Rudolf Wille
94
Voted
FSS
2007
176views more  FSS 2007»
14 years 9 months ago
Set approximations in fuzzy formal concept analysis
Formal concept analysis and rough set theory are two important tools in knowledge representation and knowledge discovery in relational information systems. The purpose of this pap...
Ming-Wen Shao, Min Liu, Wen-Xiu Zhang
84
Voted
AIIA
2005
Springer
15 years 3 months ago
Towards Fault-Tolerant Formal Concept Analysis
Given Boolean data sets which record properties of objects, Formal Concept Analysis is a well-known approach for knowledge discovery. Recent application domains, e.g., for very lar...
Ruggero G. Pensa, Jean-François Boulicaut