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dc.contributor.advisorUlusoy, Özgür
dc.contributor.authorYavaş, Gökhan
dc.date.accessioned2016-07-01T10:59:41Z
dc.date.available2016-07-01T10:59:41Z
dc.date.issued2003
dc.identifier.urihttp://hdl.handle.net/11693/29436
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractMobility prediction is one of the most essential issues that need to be explored for mobility management in mobile computing systems. In this thesis, we propose a new algorithm for predicting the next inter-cell movement of a mobile user in a Personal Communication Systems network. In the first phase of our three-phase algorithm, user mobility patterns are mined from the history of mobile user trajectories. In the second phase, mobility rules are extracted from these patterns, and in the last phase, mobility predictions are accomplished by using these rules. The performance of the proposed algorithm is evaluated through simulation as compared to two other prediction methods. The performance results obtained in terms of Precision and Recall indicate that our method can make more accurate predictions than the other methods.en_US
dc.description.statementofresponsibilityYavaş, Gökhanen_US
dc.format.extentviii, 42 leaves, 30 cmen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLocation predictionen_US
dc.subjectmobility predictionen_US
dc.subjectmobility patternsen_US
dc.subjectmobile computingen_US
dc.subjectdata miningen_US
dc.subject.lccQA76.59 .Y38 2003en_US
dc.subject.lcshMobile computing.en_US
dc.titleUsing a data mining approach for the prediction of user movements in mobile environmentsen_US
dc.typeThesisen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidBILKUTUPB077753


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