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Relevant Attributes in Formal Contexts
[article]
2018
arXiv
pre-print
Building up on this we introduce a method for attribute selection in formal contexts. ...
., random sampling, parallelization, or attribute extraction. A so far not investigated method in the realm of formal concept analysis is attribute selection, as done in machine learning. ...
Building up on this we formalize a relative relevance measure in formal contexts in order to identify the most relevant attributes. ...
arXiv:1812.08868v1
fatcat:zzmgs3sbqnftlino5nb5nlrxra
Note on Representing attribute reduction and concepts in concepts lattice using graphs
[article]
2018
arXiv
pre-print
Mao H. (2017, Representing attribute reduction and concepts in concept lattice using graphs. ...
Soft Computing 21(24):7293--7311) claims to make contributions to the study of reduction of attributes in concept lattices by using graph theory. ...
Specifically, she introduces a so-called pre-weighted relevant graph G(O, P, I) (derived from a formal context (O, P, I)) as a graph with vertices being the attributes in P and edges being given as follows ...
arXiv:1711.05509v2
fatcat:hhazqiiwabc4plynuyl755gibi
Detecting Important Patterns Using Conceptual Relevance Interestingness Measure
[article]
2021
arXiv
pre-print
massive formal contexts (and concept lattices), and in the presence of irrelevant concepts. ...
While off-the-shelf interestingness indices defined in Formal Concept Analysis may provide an effective relevance evaluation in several situations, they frequently give inadequate results when faced with ...
Background To illustrate the basic notions in Formal Concept Analysis (FCA) we use the Movies formal context with 11 objects and 7 attributes (see Figure 1 ). ...
arXiv:2110.11262v1
fatcat:ep5v3xzgb5gevjn4rph2oblwta
Formal Concept Analysis for Domain-Specific Document Retrieval Systems
[chapter]
2001
Lecture Notes in Computer Science
This paper describes a browsing mechanism for such a system based on the concept lattice of Formal Concept Analysis (FCA) in cooperation with incremental knowledge acquisition mechanisms. ...
It also appears that the concept lattice of FCA is a useful way of supporting the flexible open management of documents required by individuals, small communities or in specialised domains. ...
Kwok for helping in formalising of mathematical formulas used in definitions. This research is supported by an Australian Research Council (ARC) grant. ...
doi:10.1007/3-540-45656-2_21
fatcat:43jdn3o4g5cgbgpkcwuzvzm5vi
Attribute Extended Algorithm of Lattice-Valued Concept Lattice Based on Congener Formal Context
2014
Mathematical Problems in Engineering
The definitions of attribute extended formal context and congener formal context are proposed. ...
For a better application of lattice-valued concept lattice into data distributed storage and parallel processing, it is necessary to research attribute extended algorithm based on congener formal context ...
Acknowledgments
Mathematical Problems in Engineering ...
doi:10.1155/2014/836137
fatcat:cc2s5md7tvbpnjjrwiv3dicuja
Refinement Strategies for Correlating Context and User Behavior in Pervasive Information Systems
2015
Procedia Computer Science
These strategies are based on data mining and Formal Concept Analysis and used to refine input data in order to identify the context elements that have a strong impact on user behaviors. ...
The proposed context analysis is further on evaluated in experiments with real data. ...
Proposition and methodology Our proposal consists in refining formal contexts according to a relevance measure based on the frequency of applications used in the various context elements. ...
doi:10.1016/j.procs.2015.05.103
fatcat:7qfbaogdq5bpzic7tf6m42muyu
Logical scaling in formal concept analysis
[chapter]
1997
Lecture Notes in Computer Science
The derivation of concept lattices is determined by terminologies expressed in a formallogical language. ...
Logical scaling is a new method to transform data matrices which are based on object-attribute-value-relationships into data matrices from which conceptual hierarchies can be explored. ...
In our example, we de ne the relevant stereotypes by attributes and attribute values given in the many-valued context leisure activities. ...
doi:10.1007/bfb0027881
fatcat:bmm36knar5cidlrd24ilymu4mm
Reducing the Size of Concept Lattices: The JBOS Approach
2010
International Conference on Concept Lattices and their Applications
In particular, it makes possible the use of FCA in a data set (formal context) for which that use was previously impossible. ...
Formal concept analysis (FCA) is used nowadays in a large number of applications in several different areas. ...
For its definition, a weight is created for each attribute of the formal context, which seeks to represent the attribute's relevance, and the similarity is determined from the weights of the attributes ...
dblp:conf/cla/DiasV10
fatcat:ynoz5m7bz5cdnogyrficc3yr4i
Scale-free structure in concept lattices associated to complex systems
2012
2012 IEEE International Conference on Complex Systems (ICCS)
Experiments revealed that the topologies of CLCS are similar when the amount of information on the CS is sufficient, while it is different in other concept lattices associated to random formal contexts ...
reliable attributes on the CS, and to provide a basis for (qualitative) successfully reasoning about the CS. ...
different to the distributions of CL associated to random formal contexts (a random context can be interpreted as the result of the observation of a CS by means of non relevant attributes or a qualitative ...
doi:10.1109/icocs.2012.6458536
fatcat:y3vbxcj7hrb6zjttgyoi7gmj2u
Formal concept analysis with hierarchically ordered attributes
2004
International Journal of General Systems
We define the notion of a formal concept respecting the attribute hierarchy. Formal concepts which do not respect the hierarchy are considered not relevant. ...
The clusters, called formal concepts, are naturally interpreted as human-perceived concepts in a traditional sense and can be partially ordered by a subconcept-superconcept hierarchy. ...
When processing a respective formal context in order to get some support for the decisions in question, the attributes which are not relevant to the decision may be disregarded. ...
doi:10.1080/03081070410001679715
fatcat:s3mfnzflurcrzdzkgf3cqs5a2i
Improving Generalization Level in UML Models Iterative Cross Generalization in Practice
[chapter]
2004
Lecture Notes in Computer Science
In this paper, we elaborate on ICG, an FCA-based methodology for extracting generic parts out of software models that are described as UML class diagrams. ...
Consequently, feeding-in relations into the abstraction process may substantially improve its precision and thus open the access to qualitatively new generalizations. ...
To sum up, the encoding by concepts rather than by formal attributes from the destination context eases the interpretation of the formal concepts discovered in the source context | . ...
doi:10.1007/978-3-540-27769-9_23
fatcat:nxe2kjsy7bc4ppts6cv24nqmwy
Formal Concept Analysis for Information Retrieval
[article]
2010
arXiv
pre-print
The control of relevance is exploited in clustering, we improved the result by using ontology in field of image processing, and reformulating the user queries which make it possible to give more relevant ...
This algorithm allows a formal clustering of the data sources, and the results which it turns over are classified by order of relevance. ...
desired by the user and which they were provided in decreasing order relevance. - In second step, we built the concept lattice (figure 8) based on a formal context of 7 documents containing the properties ...
arXiv:1003.1494v1
fatcat:fi7trrjssvbxtpfxa4hkb23o4q
A CbO-based Algorithm for Mining Class Relevant Patterns
2020
International Conference on Concept Lattices and their Applications
Garriga et al. studied the notion of relevancy in FCA (Formal Concept Analysis). ...
In this paper, we consider the problem of mining class relevant patterns from a given context, where each object in the context has a label which is either "positive" (i.e., target-class) or "negative" ...
This work is partially supported by JSPS Grant-in-Aid for Scientific Research (C) 18K11432. ...
dblp:conf/cla/SekiY20
fatcat:fifhjhrw5ndh5ewlgpr6ortdtq
Context-based modelling of information demand: approaches from information logistics and decision support
2006
European Conference on Information Systems
Providing such information meeting the needs of a user has to be based on an accurate, purpose-oriented and up-to-date representation of the demand in question. ...
Discussion and integration of these approaches is illustrated using an example enterprise model, a related information demand context and a corresponding decision support context. ...
Acknowledgements Part of this research is based on a grant from the Swedish Foundation for International Cooperation in Research and Higher Education STINT (grant no. IG 2003-2040). ...
dblp:conf/ecis/LevashovaLSS06
fatcat:65gfbjkxybguhptndgkpzvupqu
New Taxonomy of Classification Methods Based on Formal Concepts Analysis
2016
European Conference on Artificial Intelligence
In this paper we present a new taxonomy of classification methods based on Formal Concept Analysis. ...
Data mining is an essential step in knowledge extraction from data. Various approaches have been proposed in supervised classification of data, among them approaches based on Formal Concept Analysis. ...
For example, BFC 14 builds from a formal context a cover formed only by relevant concepts. ...
dblp:conf/ecai/TrabelsiMM16
fatcat:pwbk3fhb7vaf3bh22ffttlsc5a
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