Extraction of rules from the process of merging formal Contexts
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STELMASHENKO, Daria. Extraction of rules from the process of merging formal Contexts. In: International Conference on Intelligent Information Systems, 22-23 august 2013, Chișinău. Chișinău: "VALINEX" SRL, 2013, pp. 231-234.
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International Conference on Intelligent Information Systems 2013
Conferința "International Conference on Intelligent Information Systems"
Chișinău, Moldova, 22-23 august 2013

Extraction of rules from the process of merging formal Contexts


Pag. 231-234

Stelmashenko Daria
 
Lomonosov Moscow State University
 
 
Disponibil în IBN: 12 februarie 2018


Rezumat

The formal context analysis theory [1] represents all the objects from the knowledge domain as sets of attributes, stored in a formal context. The procedure of merging several formal contexts [2] leads to the growth of the knowledge domain and makes the artificial model closer to the reality. During the merging procedure a number of pseudoconcepts, which have inconsistent attributes, are verified. Comparison of inconsistent sets of attributes with those that correspond to real formal concepts allows building a certain amount of rules. These rules can be used to expand the knowledge base of the FIACR system, described in [3].

Cuvinte-cheie
formal concept analysis, merging of formal concepts, information retrieval, rule generation, FIACR system