HEAL DSpace

An SNMP enabled system for enhanced monitoring of E-Commerce statistical indicators

Αποθετήριο DSpace/Manakin

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dc.contributor.author Kotsilieris, T en
dc.contributor.author Anagnostopoulos, J en
dc.contributor.author Kalogeropoulos, S en
dc.contributor.author Michalas, A en
dc.contributor.author Loumos, V en
dc.contributor.author Kayafas, E en
dc.date.accessioned 2014-03-01T02:42:12Z
dc.date.available 2014-03-01T02:42:12Z
dc.date.issued 2003 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30856
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-1442326840&partnerID=40&md5=b2f77bf4bd2cd4f2d8ffeed2f530ee5f en
dc.relation.uri http://www.informatik.uni-trier.de/~ley/db/conf/appinf/appinf2003.html#KotsilierisAKMLK03 en
dc.subject E-Commerce en
dc.subject MIB en
dc.subject SNMP en
dc.subject.other Artificial intelligence en
dc.subject.other Data acquisition en
dc.subject.other Graphical user interfaces en
dc.subject.other Information retrieval en
dc.subject.other Java programming language en
dc.subject.other Knowledge based systems en
dc.subject.other Management information systems en
dc.subject.other Network protocols en
dc.subject.other Statistical methods en
dc.subject.other Websites en
dc.subject.other Data collection en
dc.subject.other Management information base (MIB) en
dc.subject.other SNMP en
dc.subject.other Electronic commerce en
dc.title An SNMP enabled system for enhanced monitoring of E-Commerce statistical indicators en
heal.type conferenceItem en
heal.publicationDate 2003 en
heal.abstract The evolution in E-Commerce services and the amount of information collected in the Web sites lead to the implementation of new methodologies on acquiring Digital Economy statistics. Efficient data acquisition can be strengthened by mature network management techniques that compose an attractive framework. This paper analyses the problem of statistical indicators monitoring and a reference system, adopted from the widespread SNMP protocol, is defined. Apart from the monitoring system, this paper proposes a set of different transaction and classification metrics capable to reveal the customers' intensions. en
heal.journalName IASTED International Multi-Conference on Applied Informatics en
dc.identifier.volume 21 en
dc.identifier.spage 446 en
dc.identifier.epage 449 en


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