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This work is dedicated to formation of data warehouse for processing of a large volume of registration data of domain names. Data cleaning is applied in order to increase the effectiveness of decision making support. Data cleaning is ap- plied in warehouses for detection and deletion of errors, discrepancy in data in order to improve their quality. For this purpose, fuzzy record comparison algorithms are for clearing of registration data of domain names reviewed in this work. Also, identification method of domain names registration data for data warehouse formation is proposed. Deci- sion making algorithms for identification of registration data are implemented in DRRacket and Python.

KEYWORDS

Domain; Domain Name System; Registrar; Registrant; Category Data; Data Warehouse; Data Clearing; Fuzzy Search Algorithms; Damerau-Levenstein Distance; Decision Tree

Cite this paper

R. Alguliev and R. Gasimova -Identification of Categorical Registration Data of Domain Names in Data Warehouse Construction Task,- Intelligent Control and Automation, Vol. 4 No. 2, 2013, pp. 227-234. doi: 10.4236-ica.2013.42027.





Autor: Rasim Alguliev, Rena Gasimova

Fuente: http://www.scirp.org/



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