HEAL DSpace

Estimating the evolution of categorized web page populations

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dc.contributor.author Anagnostopoulos, I en
dc.contributor.author Stavropoulos, P en
dc.contributor.author Kouzas, G en
dc.contributor.author Anagnostopoulos, C en
dc.contributor.author Vergados, DD en
dc.date.accessioned 2014-03-01T02:44:02Z
dc.date.available 2014-03-01T02:44:02Z
dc.date.issued 2006 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31632
dc.subject Capture-recapture measurements en
dc.subject Web evolution en
dc.subject Web page categorization en
dc.subject.other Classification (of information) en
dc.subject.other Electronic commerce en
dc.subject.other Information retrieval en
dc.subject.other Statistical methods en
dc.subject.other Virtual reality en
dc.subject.other Capture-recapture measurements en
dc.subject.other Web evolution en
dc.subject.other Web page categorization en
dc.subject.other Websites en
dc.title Estimating the evolution of categorized web page populations en
heal.type conferenceItem en
heal.identifier.primary 10.1145/1149993.1150008 en
heal.identifier.secondary http://dx.doi.org/10.1145/1149993.1150008 en
heal.identifier.secondary 1150008 en
heal.publicationDate 2006 en
heal.abstract This paper proposes a statistical approach for estimating the evolution of categorized web pages. The proposal is based on the capture-recapture method used in wildlife biological studies and it is modified according to the necessary assumptions and amendments for applying the experiments on the web, where web pages are considered as animals and the specific types of e-commerce pages as particular species of animals whose abundance, birth and survival rates is estimated. An artificial classifier capable of categorizing web pages, plays the role of the biologist who recognizes the species under study. Finally, a virtual experiment in the e-commerce field was simulated and the derived results were quite promising especially as far as the estimations of the survival probability values are concerned. en
heal.journalName ACM International Conference Proceeding Series en
dc.identifier.doi 10.1145/1149993.1150008 en
dc.identifier.volume 155 en


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