An Approach for Incremental Mining of Clickstream Patterns as a Service Application

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dc.authoridKominkova Oplatkova, Zuzana/0000-0001-8050-162X
dc.authorwosidKominkova Oplatkova, Zuzana/H-6354-2012
dc.contributor.authorHuynh, Huy M.
dc.contributor.authorVo, Bay
dc.contributor.authorOplatkova, Zuzana K.
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:40:09Z
dc.date.available2024-05-19T14:40:09Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractSequential pattern mining in general and one particular form, clickstream pattern mining, are data mining topics that have recently attracted attention due to their potential applications of discovering useful patterns. However, in order to provide them as real-world service applications, one issue that needs to be addressed is that traditional algorithms often view databases as static. In reality, databases often grow over time and invalidate parts of the previous results after updates, forcing the algorithms to rerun from scratch on the updated databases to obtain updated frequent patterns. This can be inefficient as a service application due to the cost in terms of resources, and the returning of results to users can take longer when the databases get bigger. The response time can be shortened if the algorithms update the results based on incremental changes in databases. Thus, we propose PF-CUP (pre-frequent clickstream mining using pseudo-IDList), an approach towards incremental clickstream pattern mining as a service. The algorithm is based on the pre-large concept to maintain and update results and a data structure called a pre-frequent hash table to maintain the information about patterns. The experiments completed on different databases show that the proposed algorithm is efficient in incremental clickstream pattern mining.en_US
dc.description.sponsorshipTomas Bata Universityen_US
dc.description.sponsorshipNo Statement Availableen_US
dc.identifier.doi10.1109/TSC.2023.3294945
dc.identifier.endpage3905en_US
dc.identifier.issn1939-1374
dc.identifier.issue6en_US
dc.identifier.startpage3892en_US
dc.identifier.urihttps://doi.org10.1109/TSC.2023.3294945
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4913
dc.identifier.volume16en_US
dc.identifier.wosWOS:001142484600005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIeee Computer Socen_US
dc.relation.ispartofIeee Transactions on Services Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectClickstream Pattern Miningen_US
dc.subjectData Miningen_US
dc.subjectIncremental Pattern Miningen_US
dc.subjectPre-Large Concepten_US
dc.subjectService Applicationen_US
dc.titleAn Approach for Incremental Mining of Clickstream Patterns as a Service Applicationen_US
dc.typeArticleen_US

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