concept analysis

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 [ah-nal´ĭ-sis] (pl. anal´yses)
separation into component parts.
psychoanalysis. adj., adj analyt´ic.
activity analysis the breaking down of an activity into its smallest components for the purpose of assessment.
bivariate analysis statistical procedures that involve the comparison of summary values from two groups on the same variable or of two variables within a group.
blood gas analysis see blood gas analysis.
chromosome analysis see chromosome.
concept analysis examination of the attributes of a concept as it occurs in ordinary usage in order to identify the meanings attached to the concept.
content analysis a systematic procedure for the quantification and objective examination of qualitative data, such as written or oral messages, by the classification and evaluation of terms, themes, or ideas; for example, the measurement of frequency, order, or intensity of occurrence of the words, phrases, or sentences in a communication in order to determine their meaning or effect.
correlational analysis a statistical procedure to determine the direction of a relationship (positive or negative correlation) between two variables and the strength of the relationship (ranging from perfect correlation through no correlation to perfect inverse correlation and expressed by the absolute value of the correlation coefficient).
analysis of covariance (ANCOVA) a variation of analysis of variance that adjusts for confounding by continuous variables.
data analysis the reduction and organization of a body of data to produce results that can be interpreted by the researcher; a variety of quantitative and qualitative methods may be used, depending upon the nature of the data to be analyzed and the design of the study.
ego analysis in psychoanalytic treatment, the analysis of the strengths and weaknesses of the ego, especially its defense mechanisms against unacceptable unconscious impulses.
gait analysis see gait analysis.
gastric analysis see gastric analysis.
multiple-locus variable number of tandem repeat analysis (MLVA) a laboratory tool designed to recognize tandem repeats and other qualities in the genome of an individual to provide a high resolution DNA fingerprint for the purpose of identification.
multivariate analysis statistical techniques used to examine more than two variables at the same time.
power analysis a statistical procedure that is used to determine the number of required subjects in a study in order to show a significant difference at a predetermined level of significance and size of effect; it is also used to determine the power of a test from the sample size, size of effect, and level of significance in order to determine the risk of Type II error when the null hypothesis is accepted.
qualitative analysis the determination of the nature of the constituents of a compound or a mixture of compounds.
quantitative analysis determination of the proportionate quantities of the constituents of a compound or mixture.
SNP analysis analysis of single nucleotide polymorphisms to assess artificially produced genetic modifications or identify different strains of an organism.
transactional analysis a type of psychotherapy based on an understanding of the interactions (transactions) between patient and therapist and between patient and others in the environment; see also transactional analysis.
analysis of variance ANOVA; a statistical test used to examine differences among two or more groups by comparing the variability between the groups with the variability within the groups.
variance analysis the identification of patient or family needs that are not anticipated and the actions related to these needs in a system of managed care. There are four kinds of origin for the variance: patient-family origin, system-institutional origin, community origin, and clinician origin.
vector analysis analysis of a moving force to determine both its magnitude and its direction, e.g., analysis of the scalar electrocardiogram to determine the magnitude and direction of the electromotive force for one complete cycle of the heart.

concept analysis

examination of the attributes of a concept as it occurs in ordinary usage in order to identify the meanings attached to the concept.
References in periodicals archive ?
Reference [22] develops a general framework for the study of granular computing and knowledge reduction in formal concept analysis.
An important notion in formal concept analysis is thus a formal concept, which is a pair consisting of a set of objects (the extension) and a set of attributes (the intension) such that the intension consists of exactly those attributes that the objects in the extension have in common, and the extension contains exactly those objects that share all attributes in the intension in [22].
The theory of concept lattice, also called Formal Concept Analysis is a theory of data analysis for identification of conceptual structures among data sets.
Formal concept analysis and tag recommendations in collaborative tagging systems.
Subsequent chapters investigate topics including cognitive properties of human factors and error models in engineering and socialization, user-centered interactive data mining, denotational semantics of real-time process algebra, and unifying rough set analysis and formal concept analysis based on a logic approach to granular computing.
In addition, formal concept analysis was appliod on the data set containing only the selected features and used to visualize correlation between highly effective features.
Topics covered include introduction to formal concept analysis, formal logic with conceptual graphs, software tools for formal concept analysis, efficient computation with conceptual graphs, conceptual graphs for representing conceptual structures, formal concept analysis and contextual logic, linguistic data exploration, ontology learning using corpus-derived formal contexts, a lexico-logical approach to ontology engineering, faceted web document navigation, optimizing social software system design, semantic annotations and localization of resources, and active knowledge systems.

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