References
Battle L, Stonebraker M, Chang R (2013) Dynamic reduction of query result sets for interactive visualization. In: Proceedings of the 2013 IEEE international conference on big data, 6–9 Oct 2013, Santa Clara, pp 1–8. https://doi.org/10.1109/BigData.2013.6691708
Bezerianos A, Chevalier F, Dragicevic P, Elmqvist N, Fekete J (2010) GraphDice: a system for exploring multivariate social networks. Comput Graph Forum 29(3):863–872. https://doi.org/10.1111/j.1467-8659.2009.01687.x
Bostock M, Heer J (2009) Protovis: a graphical toolkit for visualization. IEEE Trans Vis Comput Graph 15(6):1121–1128
Bostock M, Ogievetsky V, Heer J (2011) D3 data-driven documents. IEEE Trans Vis Comput Graph 17(12):2301–2309
Cooper S, Khatib F, Treuille A, Barbero J, Lee J, Beenen M, Leaver-Fay A, Baker D, Popovic Z, players F (2010) Predicting protein structures with a multiplayer online game. Nature 466(7307):756–760. https://doi.org/10.1038/nature09304
Cruz IF, Ganesh VR, Caletti C, Reddy P (2013) GIVA: a semantic framework for geospatial and temporal data integration, visualization, and analytics. In: 21st SIGSPATIAL international conference on advances in geographic information systems, SIGSPATIAL 2013, Orlando, 5–8 Nov 2013, pp 534–537. https://doi.org/10.1145/2525314.2525324
Eldawy A, Mokbel MF, Jonathan C (2016) Hadoopviz: a mapreduce framework for extensible visualization of big spatial data. In: 32nd IEEE international conference on data engineering, ICDE 2016, Helsinki, 16–20 May 2016, pp 601–612
Elmqvist N, Dragicevic P, Fekete J (2008) Rolling the dice: multidimensional visual exploration using scatterplot matrix navigation. IEEE Trans Vis Comput Graph 14(6):1539–1148. https://doi.org/10.1109/TVCG.2008.153
Jugel U, Jerzak Z, Hackenbroich G, Markl V (2014) M4: a visualization-oriented time series data aggregation. PVLDB 7(10):797–808. http://www.vldb.org/pvldb/vol7/p797-jugel.pdf
Kraak MJ, Ormeling F (2011) Cartography: visualization of spatial data. Guilford Press, New York
Lichtman JW, Pfister H, Shavit N (2014) The big data challenges of connectomics. Nat Neurosci 17:1448–1454
Maciejewski R, Rudolph S, Hafen R, Abusalah AM, Yakout M, Ouzzani M, Cleveland WS, Grannis SJ, Ebert DS (2010) A visual analytics approach to understanding spatiotemporal hotspots. IEEE Trans Vis Comput Graph 16(2):205–220. https://doi.org/10.1109/TVCG.2009.100
Markram H (2006) The blue brain project. Nat Rev Neurosci 7(2):153–160
Middel A (2007) A framework for visualizing multivariate geodata. In: Visualization of large and unstructured data sets, pp 13–22
Planthaber G, Stonebraker M, Frew J (2012) EarthDB: scalable analysis of MODIS data using SciDB. In: Proceedings of the 1st ACM SIGSPATIAL international workshop on analytics for big geospatial data, BigSpatial@SIGSPATIAL 2012, Redondo Beach, 6 Nov 2012, pp 11–19. https://doi.org/10.1145/2447481.2447483
Satyanarayan A, Russell R, Hoffswell J, Heer J (2016) Reactive Vega: a streaming dataflow architecture for declarative interactive visualization. IEEE Trans Vis Comput Graph 22(1):659–668
Satyanarayan A, Moritz D, Wongsuphasawat K, Heer J (2017) Vega-lite: a grammar of interactive graphics. IEEE Trans Vis Comput Graph 23(1):341–350
Smith IB, Putzig NE, Holt JW, Phillips RJ (2016) An ice age recorded in the polar deposits of Mars. Science 352(6289):1075–1078
Song J, Frank R, Brantingham PL, LeBeau J (2012) Visualizing the spatial movement patterns of offenders. In: SIGSPATIAL 2012 international conference on advances in geographic information systems (formerly known as GIS) (SIGSPATIAL’12), Redondo Beach, 7–9 Nov 2012, pp 554–557. https://doi.org/10.1145/2424321.2424413
Vo HT, Bronson J, Summa B, Comba JLD, Freire J, Howe B, Pascucci V, Silva CT (2011) Parallel visualization on large clusters using MapReduce. In: IEEE symposium on large data analysis and visualization, LDAV 2011, Providence, 23–24 Oct 2011, pp 81–88. https://doi.org/10.1109/LDAV.2011.6092321
Wesley RMG, Eldridge M, Terlecki P (2011) An analytic data engine for visualization in tableau. In: Proceedings of the ACM SIGMOD international conference on management of data, SIGMOD 2011, Athens, 12–16 June 2011, pp 1185–1194. https://doi.org/10.1145/1989323.1989449
West VL, Borland D, Hammond WE (2015) Innovative information visualization of electronic health record data: a systematic review. J Am Med Inform Assoc 22(2):330–339
Wu E, Battle L, Madden SR (2014) The case for data visualization management systems. PVLDB 7(10):903–906. http://www.vldb.org/pvldb/vol7/p903-wu.pdf
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this entry
Cite this entry
Eldawy, A. (2018). Visualization. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_67-1
Download citation
DOI: https://doi.org/10.1007/978-3-319-63962-8_67-1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63962-8
Online ISBN: 978-3-319-63962-8
eBook Packages: Springer Reference MathematicsReference Module Computer Science and Engineering