Study on the Theory and Practice of Data Visualization
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-06155-5_1
Reference11 articles.
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2. Belilovsky, E., Gkirtzou, K., Misyrlis, M., et al.: Predictive sparse modeling of FMRI data for improved classification, regression and visualization using the k-support norm. Comput. Med. Imaging Graph. 46, 40–46 (2015)
3. Cheng, T., Teizer, J.: Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications. Autom. Constr. 34, 3–15 (2013)
4. Shao, Y.L., Liu, Y.S., Li, C.G.: Intermediate model based efficient and integrated multidisciplinary simulation data visualization for simulation information reuse. Adv. Eng. Softw. 90, 138–151 (2015)
5. Marcus, D.S., Harms, M.P., Snyder, A.Z., et al.: Human connectome project informatics: quality control, database services, and data visualization. NeuroImage 80, 202–219 (2013)
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