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Technology of data cleanse for their integration processes

Авторы: Paramonov V.V., Shigarov A.O., Ruzhnikov G.M.

Журнал: Proc. 1st Scientific-Practical Workshop on Information Technologies: Algorithms, Models, Systems (ITAMS 2018)

Том: 2221

Номер:

Год: 2018

Отчётный год: 2018

Издательство:

Местоположение издательства:

URL: http://ceur-ws.org/Vol-2221/paper2.pdf

Аннотация: The paper deals with approaches to heterogeneous data cleanse in processes of their preparation to integration. This process allows identifying and fixing different inconsistencies and errors in data to improve data quality. It provides effective versatile usage of data. The paper considered approaches that include a combination of methods fuzzy string comparison, phonetic algorithms, and the usage of the regular expression technique. The development of effective methods of data cleanse allows to improve the quality information obtained from various sources.

Индексируется WOS: 0

Индексируется Scopus: 1

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