Abstract:
The article deals with the development of algorithms of fractal analysis of relational databases. An overview and comparative analysis of the known applications of the theory of fractals in data processing is provided. A new algorithm of fractal search in a relational database, which allows detecting duplicate data group, is presented. Implementation of the proposed algorithm for the Oracle DBMS is considered. An implementation using distributed computing MapReduce paradigm is described. Examples of using the developed algorithm to compress and analyze the contents of the database are presented. The results of computational experiments are given.
Keywords:
relational databases, the theory of fractals, fractal analysis of databases, data compression.
Received: 12.08.2014
Document Type:
Article
UDC:
004.627, 004.656
Language: Russian
Citation:
T. Yu. Lymar, T. S. Mantrova, N. Yu. Staroverova, “Fractal search algorithm in relational databases”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 3:4 (2014), 61–74
This publication is cited in the following 1 articles:
Mikhail I Turitsyn, Alexei V Myshev, “Fractal methods in intelligent technologies for processing large data streams”, J. Phys.: Conf. Ser., 1189 (2019), 012045