Data representation and exploration with Geometric Wavelets

Autor:	Guangliang Chen, Rachael Brady, Eric Monson, Mauro Maggioni
Rok vydání:	2010
Předmět:	business.industry Interface (Java) Computer science External Data Representation Computational geometry computer.software_genre Data visualization Wavelet Anomaly detection Data mining business computer Interactive visualization Data compression
Zdroj:	IEEE VAST
DOI:	10.1109/vast.2010.5653822
Popis:	Geometric Wavelets is a new multi-scale data representation technique which is useful for a variety of applications such as data compression, interpretation and anomaly detection. We have developed an interactive visualization with multiple linked views to help users quickly explore data sets and understand this novel construction. Currently the interface is being used by applied mathematicians to view results and gain new insights, speeding methods development.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f8b8eabaeb712fff256b09f43250bf9a https://doi.org/10.1109/vast.2010.5653822 Zobrazit plný text záznamu