Please use this identifier to cite or link to this item: http://elea.unisa.it:8080/xmlui/handle/10556/1561
Title: 3D data visualization techniques and applications for visual multidimensional data mining
Authors: Torre, Fabrizio
Persiano, Giuseppe
Costagliola, Gennaro
Keywords: 3D radar charts
Information visualization
Multidimensional data mining
Issue Date: 21-Apr-2014
Publisher: Universita degli studi di Salerno
Abstract: Despite 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]
Description: 2012 - 2013
URI: http://hdl.handle.net/10556/1561
http://dx.doi.org/10.14273/unisa-394
Appears in Collections:Informatica

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tesi F. Torre.pdftesi di dottorato9,92 MBAdobe PDFView/Open
abstract in inglese F. Torre.pdfabstract in inglese a cura dell'autore168,64 kBAdobe PDFView/Open
astract in italiano F. Torre.pdfabstract in italiano a cura dell'autore169,36 kBAdobe PDFView/Open


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