Publication:
Software Analyzer of Commercial Companies' Reliability

dc.contributor.authorPoyda, I. A.
dc.contributor.authorStepanova, A. E.
dc.contributor.authorMenshchikova, A. A.
dc.date.accessioned2024-11-29T15:23:55Z
dc.date.available2024-11-29T15:23:55Z
dc.date.issued2021
dc.description.abstract© 2021 IEEE.The algorithm for the automated collection of information through the Google Maps service is analyzed and parsed in this article. The challenge of effective collection of financial information within the framework of competitive intelligence was posed as a research problem. The purpose of scientific work is to create a base of existing organizations in a certain area within a certain radius. A template for the operation of such algorithms for automated data collection is given. Alternative methods of parsing are discussed and compared in the article. The problems arisen during the research and their solutions are described. The results of the algorithm are presented and commented on.
dc.format.extentС. 2222-2225
dc.identifier.citationPoyda, I. A. Software Analyzer of Commercial Companies' Reliability / Poyda, I.A., Stepanova, A.E., Menshchikova, A.A. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 2222-2225. - 10.1109/ElConRus51938.2021.9396195
dc.identifier.doi10.1109/ElConRus51938.2021.9396195
dc.identifier.urihttps://www.doi.org/10.1109/ElConRus51938.2021.9396195
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85104794397&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709802054
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/23973
dc.relation.ispartofProceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021
dc.titleSoftware Analyzer of Commercial Companies' Reliability
dc.typeConference Paper
dspace.entity.typePublication
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relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
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