Visualizing, Exploring and Analyzing Big Data: A 6-Year Story

Nikos Bikakis, George Papastefanatos, Panos K. Chrysanthis, Olga Papemmanuil, David Auber, Steffen Frey, Issei Fujishiro, Hanna Hauptmann, Shixia Liu, Kwan Liu Ma, Tobias Schreck, Michael Sedlmair, Mohamed A. Sharaf

Onderzoeksoutput: ArticleAcademicpeer review

Samenvatting

Information Visualization has been one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, multidimensional, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for a great number of users with little or no support and expertise on the data processing part.

Originele taal-2English
Pagina's (van-tot)54-57
Aantal pagina's4
TijdschriftSIGMOD Record
Volume53
Nummer van het tijdschrift2
DOI's
StatusPublished - 31-jul.-2024

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