Publication:
Web-Analytics Based on Fuzzy Cognitive Maps

dc.contributor.authorKireev, V. S.
dc.contributor.authorRogachev, A. S.
dc.contributor.authorYurin, A.
dc.contributor.authorКиреев, Василий Сергеевич
dc.date.accessioned2024-11-18T08:15:59Z
dc.date.available2024-11-18T08:15:59Z
dc.date.issued2019
dc.description.abstract© 2019, Springer Nature Switzerland AG. One of the main tasks of web Analytics is to analyze the structure of websites, on the basis of which data is determined by the behavior of visitors to make decisions on the development and expansion of the functionality of the web resource. Cognitive maps are used to model weakly structured subject areas in which, for a number of reasons, it is impossible to formalize the relationship between factors functionally. For construction of fuzzy cognitive maps seek help from the expert of the problem area, which on the basis of their knowledge and experience can reliably identify the factors and assess the strength and direction of relations between them. As part of this work, it was decided to choose conversion as a usability metric. In order to verify the correctness of the algorithm for calculating the conversion was used text log-file of the real site.
dc.format.extentС. 174-179
dc.identifier.citationKireev, V. S. Web-Analytics Based on Fuzzy Cognitive Maps / Kireev,V.S., Rogachev,A.S., Yurin,A. // Advances in Intelligent Systems and Computing. - 2019. - 848. - P. 174-179. - 10.1007/978-3-319-99316-4_23
dc.identifier.doi10.1007/978-3-319-99316-4_23
dc.identifier.urihttps://www.doi.org/10.1007/978-3-319-99316-4_23
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85053222381&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000644414500023
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/16267
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.titleWeb-Analytics Based on Fuzzy Cognitive Maps
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume848
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