Visualizing, Exploring and Analyzing Big Data: A 6-Year Story Report on the Big Data Visual Exploration and Analytics Workshops 2018-2023
Publication date
2024-06-01
Authors
Bikakis, Nikos
Papastefanatos, George
Chrysanthis, Panos K.
Papemmanuil, Olga
Auber, David
Frey, Steffen
Fujishiro, Issei
Hauptmann, Hanna
Liu, Shixia
Ma, Kwan Liu
Editors
Advisors
Supervisors
Document Type
Editorial
Metadata
Show full item recordCollections
License
taverne
Abstract
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.
Keywords
Taverne, Software, Information Systems
Citation
Bikakis, N, Papastefanatos, G, Chrysanthis, P K, Papemmanuil, O, Auber, D, Frey, S, Fujishiro, I, Hauptmann, H, Liu, S, Ma, K L, Schreck, T, Sedlmair, M & Sharaf, M A 2024, 'Visualizing, Exploring and Analyzing Big Data : A 6-Year Story Report on the Big Data Visual Exploration and Analytics Workshops 2018-2023', SIGMOD Record, vol. 53, no. 2, pp. 54-57. https://doi.org/10.1145/3685980.3685994