Professional Competence Identification Through Formal Concept Analysis

Silva, Paula R. C.; Dias, Sérgio M.; Brandão, Wladmir Cardoso; Song, Mark A. J.; Zárate, Luis Enrique

doi:10.1007/978-3-319-93375-7_3

Cited by 2 publications

(2 citation statements)

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“…The competence was divided into three dimensions: knowledge, attitudes and skill. Then, following the methodology by [39], the on-line professional resume categories were mapped into the competence model dimensions, as follows: the academic education information was classified into knowledge dimension, the professional experience was linked to the skill dimension, and the user's interaction with the network were linked to the attitudes dimension.…”

Section: Case Study: Linkedinmentioning

confidence: 99%

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ImplicPBDD: A New Approach to Extract Proper Implications Set from High-Dimension Formal Contexts Using a Binary Decision Diagram †

et al. 2018

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Formal concept analysis (FCA) is largely applied in different areas. However, in some FCA applications the volume of information that needs to be processed can become unfeasible. Thus, the demand for new approaches and algorithms that enable processing large amounts of information is increasing substantially. This article presents a new algorithm for extracting proper implications from high-dimensional contexts. The proposed algorithm, called ImplicPBDD, was based on the PropIm algorithm, and uses a data structure called binary decision diagram (BDD) to simplify the representation of the formal context and enhance the extraction of proper implications. In order to analyze the performance of the ImplicPBDD algorithm, we performed tests using synthetic contexts varying the number of objects, attributes and context density. The experiments show that ImplicPBDD has a better performance—up to 80% faster—than its original algorithm, regardless of the number of attributes, objects and densities.

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Section: Case Study: Linkedinmentioning

confidence: 99%

“…From the variables extracted in the data collection phase and the mapping of the informational categories of LinkedIn proposed by [39], for this paper it was chosen to address only the variables ability and experience was sufficient to determine the skills needed to hold professional positions.…”

Section: Case Study: Linkedinmentioning

confidence: 99%