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dc.contributor.authorTorre, Fabrizio
dc.date.accessioned2014-12-12T10:23:41Z
dc.date.available2014-12-12T10:23:41Z
dc.date.issued2014-04-21
dc.identifier.urihttp://hdl.handle.net/10556/1561
dc.identifier.urihttp://dx.doi.org/10.14273/unisa-394
dc.description2012 - 2013en_US
dc.description.abstractDespite modern technology provide new tools to measure the world around us, we are quickly generating massive amounts of high-dimensional, spatialtemporal data. In this work, I deal with two types of datasets: one in which the spatial characteristics are relatively dynamic and the data are sampled at different periods of time, and the other where many dimensions prevail, although the spatial characteristics are relatively static. The first dataset refers to a peculiar aspect of uncertainty arising from contractual relationships that regulate a project execution: the dispute management. In recent years there has been a growth in size and complexity of the projects managed by public or private organizations. This leads to increased probability of project failures, frequently due to the difficulty and the ability to achieve the objectives such as on-time delivery, cost containment, expected quality achievement. In particular, one of the most common causes of project failure is the very high degree of uncertainty that affects the expected performance of the project, especially when different stakeholders with divergent aims and goals are involved in the project...[edited by author]en_US
dc.language.isoenen_US
dc.publisherUniversita degli studi di Salernoen_US
dc.subject3D radar chartsen_US
dc.subjectInformation visualizationen_US
dc.subjectMultidimensional data miningen_US
dc.title3D data visualization techniques and applications for visual multidimensional data miningen_US
dc.typeDoctoral Thesisen_US
dc.subject.miurINF/01 INFORMATICAen_US
dc.contributor.coordinatorePersiano, Giuseppeen_US
dc.description.cicloXII n.s.en_US
dc.contributor.tutorCostagliola, Gennaroen_US
dc.identifier.DipartimentoInformaticaen_US
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