Formal concept analysis (FCA) and possibility theory (PoTh) are two theoretical frameworks that are addressing different concerns in the processing of information. Namely FCA builds concepts from a relation linking objects to the properties they satisfy, which has applications in data mining, clustering and related fields, while PoTh deals with the modeling of (graded) epistemic uncertainty. Th...

OBJECTIVES To assess the role of potential (occupational) risk factors for fragrance contact allergy (FCA). Most studies assessing the range of contact sensitisation in various clinical populations found the fragrance mix, a good screening tool for the detection of FCA in general, to be one of the leading allergens. The role of occupational exposure to fragrances is, however, yet unclear. MET...

Owing to the potentially harmful character of nitrogen-fixing filamentous cyanobacterial blooms in the Baltic Sea, a capacity to predict their occurrence is of interest. We quantified the surface accumulations of cyanobacteria, mainly Nodularia spumigena, using ocean colour satellite data. The spatial and temporal frequency of the accumulations was mapped with an automated detection algorithm, ...

This paper investigates the application of the computational model of Cellular Automata (CA) for pattern classification of real valued data. A special class of CA referred to as Fuzzy CA (FCA) is employed to design the pattern classifier. It is a natural extension of conventional CA, which operates on binary string employing boolean logic as next state function of a cell. By contrast, FCA emplo...

The potentials of formal concept analysis (FCA) for information retrieval (IR) have been highlighted by a number of research studies since its inception. With the proliferation of small-size specialised text databases available in electronic format and the advent of Web-based graphical interfaces, FCA has then become even more appealing and practical for searching text collections. The main adv...

Formal Concept Analysis (FCA) is suitable for use within organisations at different levels of maturity in information management. It takes as input a bigraph, into which both structured and unstructured data can be readily transformed, and produces a multiple-inheritance type hierarchy suitable for formal knowledge representation. Accordingly, FCA has been widely applied in areas such as inform...

Our previous studies showed that alteration of dipeptides Y-Fca-Ala-OMe (III) into Y-Ala-Fca-OMe (IV) (Y=Ac, Boc; Fca=1'-aminoferrocene-1-carboxylic acid) significantly influenced their conformational space. The novel bioconjugates Y-Fca-Pro-OMe (1, Y=Ac; 2, Y=Boc) and Y-Pro-Fca-OMe (3, Y=Boc; 4, Y=Ac) have been prepared in order to investigate the influence of proline, a well-known turn-induce...

In this paper we describe the application of Formal Concept Analysis (FCA) for analysis of data tables with different types of attributes. FCA represents one of the conceptual data mining methods. The main limitation of FCA in classical case is the exclusive usage of binary attributes. More complex attributes then should be converted into binary tables. In our approach, called Generalized One-S...

The paper presents a preliminary study on basic level of concepts in the framework of formal concept analysis (FCA). The basic level of concepts is an important phenomenon studied in the psychology of concepts. We argue that this phenomenon may be utilized in FCA for selecting important concepts. In the other direction, we argue that FCA provides a simple framework for studying the phenomenon i...

We examined the effect of (+)-ABA on the in vitro interaction of rice FCA and FY homologs, OsFCA and OsFY. From this analysis, we found no disruption of the OsFCA-OsFY complexes by ABA treatment. This result prompted us to examine the effect of ABA on the FCA-FY interaction. In these experiments, we could not reproduce the inhibitory effect of (+)-ABA on the interaction between FCA and FY. Base...