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Please use this identifier to cite or link to this item: http://hdl.handle.net/10761/1559

Issue Date: 26-Feb-2014
Authors: Di Silvestro, Lorenzo Paolo
Title: Data Mining and Visual Analytics Techniques
Abstract: With the beginning of the Information Age and the following spread of the information overload phenomenon, it has been mandatory to develop a means to simply explore, analyze and summarize large quantity of data. To achieve this purposes a data mining techniques and information visualization methods are used since decades. In the last years a new research field is gaining importance: Visual Analytics, an outgrowth of the fields of scientific and information visualization but includes technologies from many other fields, including knowledge management, statistical analysis, cognitive science and decision science. In this dissertation the combined effort of the mentioned research fields will be analyzed, pointing out different way to combine them following the best practice according to several application cases.
Appears in Collections:Area 01 - Scienze matematiche e informatiche

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DSLLNZ83S16C351T-DiSilvestro_PhD-Thesis.pdfDi Silvestro - PhD Dissertation14,51 MBAdobe PDFView/Open


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