• We propose a semi-supervised learning (SSL) method, called SELF (SEmi-supervised Learning via FCA), using Formal Concept Analysis (FCA) – It can handle mixed-type data containing both discrete and continuous variables ∘ Numerical data are discretized by binary encoding / Summary • We propose a semi-supervised learning (SSL) method, called SELF (SEmi-supervised Learning via FCA), using Form...

FCA has been successfully applied to software engineering tasks such as source code analysis and class hierarchy re-organization. Most notably, FCA puts mathematics behind the mechanism of abstracting from a set of concrete software artifacts. A key limitation of current FCA-based methods is the lack of support for relational information (e.g., associations between classes of a hierarchy): the ...

In the last years, the maIn onentatlOn of Formal Concept Analysis (FCA) has turned from mathematics towards computer science. This article provides a review of this new orientation and analyzes why and how FCA and computer science attracted each other. It discusses FCA as a knowledge representation formalism using five knowledge representation principles provided by Davis, Shrobe, and Szolovits...

Background. The use of acupuncture for cosmetic purposes has gained popularity worldwide. Facial cosmetic acupuncture (FCA) is applied to the head, face, and neck. However, little evidence supports the efficacy and safety of FCA. We hypothesized that FCA affects facial elasticity by restoring resting mimetic muscle tone through the insertion of needles into the muscles of the head, face, and ne...

Web usage mining aims to discover interesting user access patterns from web logs. Formal Concept Analysis (FCA) is an effective data analysis technique based on ordered lattice theory. In this paper, we propose a novel FCA approach for web usage mining. In our approach, the FCA technique is applied to mine association rules from Web Usage Lattice constructed from web logs. The discovered knowle...

Formal Concept Analysis (FCA) is an approach to knowledge engineering, representation, and analysis. A ‘standard’ FCA-workflow starts with some ‘experimental’ data, classifies “objects” and their “attributes” in the data, represents relations between objects and attributes by a number of cross-tables (matrices), couples compatible sets of objects and attributes into concepts, and builds a numbe...

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 behaviours had previously been observed through simulation and FCA had been empirically classified accordingly. However, no analy...

During the recent past, FCA has received significant attention from the research communities of various fields. Further, the theory of FCA is being extended into different frontiers and being augmented with other knowledge representation frameworks. In this backdrop, this paper aim to provide an understanding on necessary mathematical background for each extension of FCA like FCA with granular ...

FCA is a mathematical formalism having many applications in data mining and knowledge discovery. Originally it deals with binary data tables. However, there is a number of extensions that enrich standard FCA. In this paper we consider two important extensions: fuzzy FCA and pattern structures, and discuss the relation between them. In particular we introduce a scaling procedure that enables rep...