TY - JOUR
T1 - Special issue on Big Data Visual Analytics
AU - Nguyen, Quang Vinh
AU - Klein, Karsten
AU - Engelke, Ulrich
AU - Bednarz, Tomasz
AU - Heinrich, Julian
PY - 2017
Y1 - 2017
N2 - This special issue on Big Data Visual Analytics is based on the best papers accepted at the 1st International Symposium on Big Data Visual Analytics (BDVA) 2015 that was successfully held at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Hobart, Tasmania, Australia, 22–25 September 2015. Visual Analytics is the enabling science for effective exploration of big data through meaningful visualisations and interactive user interfaces. Understanding the multidisciplinary nature, including user querying, powerful analytics, machine learning, visualisation, human–computer interaction, perception and cognition, is critical for Visual Analytics to be effectively deployed. This special issue aims to reflect the importance and advancement of visual analytics for analysing big and complex data on various scientific domains and applications.
AB - This special issue on Big Data Visual Analytics is based on the best papers accepted at the 1st International Symposium on Big Data Visual Analytics (BDVA) 2015 that was successfully held at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Hobart, Tasmania, Australia, 22–25 September 2015. Visual Analytics is the enabling science for effective exploration of big data through meaningful visualisations and interactive user interfaces. Understanding the multidisciplinary nature, including user querying, powerful analytics, machine learning, visualisation, human–computer interaction, perception and cognition, is critical for Visual Analytics to be effectively deployed. This special issue aims to reflect the importance and advancement of visual analytics for analysing big and complex data on various scientific domains and applications.
KW - big data
KW - visual analytics
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:41265
U2 - 10.1016/j.jvlc.2017.05.005
DO - 10.1016/j.jvlc.2017.05.005
M3 - Article
SN - 1045-926X
VL - 41
SP - 70
EP - 70
JO - Journal of Visual Languages and Computing
JF - Journal of Visual Languages and Computing
ER -