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The methods from the area of Formal Concept Analysis (or FCA) are usually used for conceptual-based exploratory data-mining tasks. One of the methods used in this area is based on one-sided fuzzification of standard approach, which provides the clusters of objects structured in concept hierarchy according to the specified set of fuzzy attributes. The limiting problem of FCA-based approaches is that...
Generalized one-sided concept lattices (GOSCL) represent an FCA-like method for analysis of object-attribute models with different types of attributes. Since the number of concepts can be exponential with respect to the number of objects in a model, study of various reduction methods represents one of the most recognized problems in FCA. One of such reduction is possible, provided that a Moore co-family...
The goal of feature extraction in multimedia mining is to discover important features for represented into a form that can represent information of multimedia data. Sequential pattern is one form of data representation formed of a number of elements that appear in sequence. The goal of this study is to analyze sequential pattern representation performancy to improve accuracy and efficiency. Analysis...
In this paper we describe Generalized One-sided Concept Lattices (GOSCL) as facet-like structures. Facet-like structures occur in many computer science disciplines as some hierarchical structures. GOSCL constitute from (objects, properties) pairs known as the formal concepts. The hierarchical structure of formal concepts, ordered by the generalization and specialization among the concepts, forms a...
This paper describes a new approach to modeling duration for LVCSR using SCARF, a toolkit for speech recognition with segmental conditional random fields. We utilize SCARF's ability to integrate long-span, segment-level features to design and test duration models that help discriminate between correct and incorrect word hypotheses. We show that the duration distributions of correct and incorrect word...
Assessing concept similarity is an importance activity in ontology engineering. In this paper, a new similarity measure model is proposed, in which the information content of meet-irreducible elements is employed to evaluate the similarity degree of the two concepts of concept lattice. The proposed method combines featural and structural information into decision and preserves more structure information...
In the large-scale formal context, time efficiency will be reduced, if using semantic distance to calculate the concept similarity. In this paper, a calculation method of similarity about the concept in the formal context was designed by using the inclusion degree theory. Firstly, probability distribution and probability measure was defined. The probability measure was taken as a fuzzy measure of...
Object-oriented and property-oriented concept lattices are constructed based on rough set theory. In this paper, a uniform mathematical model-concept granular computing system is first established by mappings on two complete lattices. In this framework, object-oriented and property-oriented concept granular computing systems are introduced for property-oriented and object-oriented concept lattices,...
Various approaches have been proposed to perform concept approximation using a concept lattice developed from a formal context. This paper reviews several of these approaches and examines the relationships among them. Since concept approximation is also strongly related to determining the similarity between concepts within a concept lattice, a variety of methods for measuring concept similarity are...
Translating knowledge discovered from a database to the form of rule-based representation is a critical step for human decision making. In order to realize such key step, firstly, an approach of using the concept lattice to extract the association rules is proposed. Moreover, the previous extracted rules are integrated with decision maker's subjective preference information to confirm the desirable...
FCA is applied into Q-matrix theory and modifies that Q is Boolean algebra in terms of Boolean addition, Boolean multiplication, and complement operator Tatsuoka 1991 1995. The structure of item tree Tatsuoka 1995 is denied, and the concept lattices are constructed which is derived from Q matrix.
First order languages express properties of entities and their relationships in rich models of heterogeneous network phenomena. Markov logic is a set of techniques for estimating the probabilities of truth values of such properties. This article generalizes Markov logic in order to allow nonclassical sets of truth values. The new methods directly support uncertainties in both data sources and values...
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