Data Mining and Visual Analytics Techniques

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.

Grantor dc:publisher

Università degli studi di Catania

Year dc:date

2013

Author dc:creator

• DI SILVESTRO, LORENZO

Contributors dc:contributor

• GALLO, Giovanni
• CUTELLO, Vincenzo

• visual analytics, machine learning, information visualization, pattern recognition

Statement dc:rights

• info:eu-repo/semantics/openAccess
• license:PUBBLICO - Pubblico con Copyright
• license uri:iris.PUB02

Language dc:language

eng

Handle dc:identifier

https://hdl.handle.net/20.500.11769/585463

OAI identifier oai:identifier

oai:www.iris.unict.it:20.500.11769/585463