Παραλληλοποίηση αλγόριθμων για αποτελεσματικό φιλτράρισμα πληροφορίας

dc.contributor.advisorΣκιαδόπουλος, Σπύρος
dc.contributor.authorΠαρράς, Γεώργιος
dc.contributor.committeeΒασιλάκης, Κώστας
dc.contributor.committeeΤρυφωνόπουλος, Χρήστος
dc.contributor.departmentΤμήμα Πληροφορικής και Τηλεπικοινωνιώνel
dc.contributor.facultyΣχολή Οικονομίας, Διοίκησης και Πληροφορικήςel
dc.contributor.masterΠρόγραμμα Μεταπτυχιακών Σπουδών στην Επιστήμη και Τεχνολογία Υπολογιστώνel
dc.date.accessioned2024-08-27T09:24:34Z
dc.date.available2024-08-27T09:24:34Z
dc.date.issued2020-11-06
dc.descriptionΜ.Δ.Ε. 74el
dc.description.abstracttranslatedIn the information ltering paradigm, clients subscribe to a server with continuous queries that express their information needs. Such queries aim to retrieve relative documents that are published on the server. More speci cally, whenever a new document is published on the server, the continuous queries satisfying this document are found and noti cations are sent to the respective clients. More formally, given a database of continuous queries db and an incoming document d, an information ltering process nds all queries q 2 db that match d. We concentrate on queries that are expressed in the AWP data model. This model is based on named attributes with values of type text, and its query language includes Boolean and word proximity operators. In this thesis, we consider the e cient parallelization of the information ltering procedures. To this end, we employ appropriate data structures, indexing methods and parallel techniques. Using the aforementioned machinery, our parallel methods achieve an improvement of more than 98% in ltering performance for large databases (up to 3 million queries), expressed in the AWP model.el
dc.format.extentσελ. 104el
dc.identifier.urihttps://amitos.library.uop.gr/xmlui/handle/123456789/8164
dc.identifier.urihttp://dx.doi.org/10.26263/amitos-1666
dc.language.isoenel
dc.publisherΠανεπιστήμιο Πελοποννήσουel
dc.rightsΑναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/gr/*
dc.titleΠαραλληλοποίηση αλγόριθμων για αποτελεσματικό φιλτράρισμα πληροφορίαςel
dc.typeΜεταπτυχιακή διπλωματική εργασίαel

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