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On the Machine Learning Based Business Workflows Extracting Knowledge from Large Scale Graph Data

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dc.contributor.authorMusaoglu, Mert
dc.contributor.authorBekler, Merve
dc.contributor.authorBudak, Huseyin
dc.contributor.authorAkcelik, Celal
dc.contributor.authorAktas, Mehmet S.
dc.date.accessioned2026-06-27T14:47:55Z
dc.date.issued2022
dc.description.abstractThe data created by web users while navigating on a website constitutes graph data. Large-scale graph data is generated on websites many users visit with high frequency. Analyzing large-scale graph data using artificial intelligence techniques and predicting user behavior by creating models is an actively studied research topic. Within the scope of this research, a machine learning business process is proposed that will allow the interpretation of graph data obtained from web user navigation data. A prototype application was developed to demonstrate the usability of the proposed business process. The developed prototype application was run on graph data obtained from websites with intense user-system interaction. A comprehensive evaluation study was carried out on the prototype application. The results obtained from the empirical evaluation are promising and show that the proposed business process is used.en
dc.description.sponsorshipTUBITAK [3200698]
dc.description.urihttps://doi.org/10.1007/978-3-031-10548-7_34
dc.identifier.doi10.1007/978-3-031-10548-7_34
dc.identifier.eissn1611-3349
dc.identifier.endpage475
dc.identifier.isbn978-3-031-10548-7; 978-3-031-10547-0
dc.identifier.issn0302-9743
dc.identifier.startpage463
dc.identifier.urihttps://hdl.handle.net/20.500.14981/64907
dc.identifier.volume13381
dc.identifier.wos000925181400034
dc.language.isoeng
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.conference22nd International Conference on Computational Science and its Applications (ICCSA)
dc.relation.ispartofCOMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2022 WORKSHOPS, PART V
dc.subjectMachine learning
dc.subjectSequential pattern mining
dc.subjectCustomer journey
dc.subjectFunnel analysis
dc.subjectEncoding
dc.subjectIDF
dc.subjectComputer Science
dc.subjectScience & Technology - Other Topics
dc.titleOn the Machine Learning Based Business Workflows Extracting Knowledge from Large Scale Graph Data
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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