Formal concept analysis (FCA) comprises a set of powerful algorithms which can be used for data analysis and manipulation, and a set of visualisation tools which enable the discovery of meaningful relationships between attributes of the data. We explore the potential of combining FCA and mathematical discovery tools in order to better facilitate discovery tasks. In particular, we propose a nove...

BACKGROUND Aiming at partly controlled asthma (PCa) instead of controlled asthma (Ca) might decrease asthma medication use. Biomarkers, such as the fraction of exhaled nitric oxide (Feno), allow further tailoring of treatment. OBJECTIVE We sought to assess the cost-effectiveness and clinical effectiveness of pursuing PCa, Ca, or Feno-driven controlled asthma (FCa). METHODS In a nonblind, pr...

We propose a generalization of Formal Concept Analysis (FCA) in which sets of attributes are replaced by expressions of an almost arbitrary logic. We prove that all FCA can be reconstructed on this basis. We show that from any logic that is used in place of sets of attributes can be derived a contextualized logic that takes into account the formal context and that is isomorphic to the concept l...

Both domain ontologies and Formal Concept Analysis (FCA) aim at modeling concepts, although with different purposes. In the literature, a promising research area concerns the role of FCA in ontology engineering, in particular, in supporting the critical task of reusing independently developed domain ontologies. With this regard, the possibility of evaluating concept similarity is acquiring an i...

Exploratory data-driven methods such as Fuzzy clustering analysis (FCA) and Principal component analysis (PCA) may be considered as hypothesis-generating procedures that are complementary to the hypothesis-led statistical inferential methods in functional magnetic resonance imaging (fMRI). Here, a comparison between FCA and PCA is presented in a systematic fMRI study, with MR data acquired unde...

Formal concept analysis (FCA) 10] is a technique for knowledge representation and unsupervised machine learning that has been applied to a wide variety of knowledge representation and exploration tasks in a disparate range of disciplines including civil engineeringg7], psychologyy8], and political sciencee9]. Several software tools have been developed to aid knowledge exploration using FCA. The...

The stepping forces of normal and Freund Complete Adjuvant (FCA)-induced arthritic rats were studied in vivo using a proposed novel analgesic meter. An infrared charge-coupled device (CCD) camera and a data acquisition system were incorporated into the analgesic meter to determine and measure the weight of loads on the right hind paw before and after induction of arthritis by FCA injection into...

RNA recognition motifs as important regulators of gene expression are highly conserved in animals and plants. The FCA floral promotion gene in Arabidopsis encodes a protein, containing two RNA recognition motifs (RRM) and a WW protein interaction domain. Here we isolated FCA cDNA from rice. FCA in rice (rFCA) was homologous to FCA-gamma of Arabidopsis and contained conserved domains. To investi...

Fuzzy cellular automata (FCA) are continuous cellular automata where the local rule is defined as the “fuzzification” of the local rule of a corresponding Boolean cellular automaton in disjunctive normal form. In this paper we consider circular FCA; their asymptotic behavior has been observed through simulations and FCA have been empirically classified accordingly. No analytical study exists so...