BIG DATA VISUALIZATION: EXISTING APPROACHES AND PROBLEMS - Problems of Information Technology

BIG DATA VISUALIZATION: EXISTING APPROACHES AND PROBLEMS - Problems of Information Technology

BIG DATA VISUALIZATION: EXISTING APPROACHES AND PROBLEMS - Problems of Information Technology

BIG DATA VISUALIZATION: EXISTING APPROACHES AND PROBLEMS - Problems of Information Technology

BIG DATA VISUALIZATION: EXISTING APPROACHES AND PROBLEMS - Problems of Information Technology
BIG DATA VISUALIZATION: EXISTING APPROACHES AND PROBLEMS - Problems of Information Technology
AZERBAIJAN NATIONAL ACADEMY OF SCIENCES

№1, 2018

BIG DATA VISUALIZATION: EXISTING APPROACHES AND PROBLEMS

Makrufa Sh. Hajirahimova, Marziya I. Ismayilova

One of the biggest problems of the century we live is a big data problem. One of its main problems is the visualization of the results of the analysis. The article reviews and interprets the history and phases of visualization, classification of visualization methods, existing approaches, problems of big data visualization, visualization tools (pp.65-74).

Keywords: visualization, big data, interactive visualization, scientific visualization, tag cloud, motion charts.
DOI : 10.25045/jpit.v09.i1.07
References
  • Gants J., Reinsel D. The digital universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East. Study report, IDC, 2013, 7 p.
  • Alguliyev R.M., Hacirahimova M.Sh. "Big Data" phenomenon: problems and opportunities // Problems of Information Technologies, 2014, No2, pp.3-16.
  • Information visualization (INFOVIS) // IEEE Symposium. http://ieeexplore.ieee.org
  • Peskova O.V. About the data visualization // Vestnik MSTU after. Bauman N.E., "Instrumentation", 2012, pp.158-173.
  • Chen C.L., Zhang C.Y. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data // Information Sciences, 2014, vol.275, pp.314–
  • Beyer M.A, Laney D. The importance of “Big Data”: A definition. Gartner, 2012, 7 p.
  • Demchenko Y., Ngo C., Membrey P. Architecture framework and components for the big data ecosystem // Journal System and Network Engineering. SNE Technical Report, 2013, 31 p.
  • Mashkoor A., Ahamad M.V. Visualization, Security and Privacy Challenges of Big Data // International Journal of Advanced Technology in Engineering and Science, 2017, vol.5, no.6, pp.394–400
  • A Special Track of the 11th International Symposium on Visual Computing, 2015. www.isvc.net/15/ST6.pdf.
  • Friendly M. A. Brief history of data visualization, Springer, 2006, 41 p.
  • Kumar S. A review of recent trends and issues in visualization // International Journal on Computer Science and Engineering (IJCSE), 2016, vol.8, no.3, pp.41–
  • Azzam T., Evergreen S., Germuth A.A., Kistler S.J. Data visualization and evaluation // New Directions for Evaluation, 2013, no.139, pp.7–
  • Averbukh V.L., Manakov D.V. Analysis and visualization of "big data" / Proceedings of the Conference "Parallel Evaluation Technologies", 2015, pp.333-340.
  • Big Data Visualization: Turning Big Data into Big Insights. The Rise of Visualization-based Data Discovery Tools, White Paper. Intel IT Center, 2013, 14 p.
  • Shneiderman B. The big picture for big data: Visualization // Science, 2014, vol.343, pp.730.
  • Keim D., Qu H., Ma K-L. Big Data Visualization // IEEE Computer Graphics and Applications, 2013, рp.20–
  • Khan M., Khan S. Data and Information Visualization Methods, and Interactive Mechanisms: A Survey // International Journal of Computer Applications, 2011, vol.34, no.1, pp.1–
  • Data Visualization Techniques. White Paper, SAS Institute, 2014, 17 p.
  • Kaushik A., Naithan S. An Anatomy of Data Visualization // International Journal of Computer Science and Network Security, 2016, vol.16, no.2, pp.77–
  • Gorodov E., Gubarev V. Analytical Rewiew of Data Visalization Methods in Application to Big Data // Journal of Electrical and Computer Engineering, 2013, pp.1–
  • Goranson C., Huang X., Bevington W., Kang J. Data Visualization for Big Data. 2014, 26 p.
  • Olshannikova E. et al. Visualizing Big Data with augmented and virtual reality: Challenges and research agenda // Journal of Big Data, 2015, vol.2, pp.2–
  • Hacirahimova M.S., Ismayilova M.I. About the problems of visualization of software versions / I Republican Conference on the Actual Scientific-Practical Problems of Software Engineering, 17 May 2017, pp.254-258.
  • Wang L., Wang G., Alexander C. Big Data and Visualization: Methods, Challenges and Technology Progress // Digital Technologies, 2015, vol.1, no.1, pp.33–
  • Patil S.S. Overview of Big Data Visualization // International Journal of Advanced Networking & Applications (IJANA), 2016, pp.436–
  • Chen L., Zhang C.Y. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data // Journal Information Sciences, 2014, pp.314–347.
  • Alguliyev R.M., Hacirahimova M.S., Aliyeva A.S. Actual scientific and theoretical problems of Big data // Problems of Information Society, 2016, No2, pp.37-49.
  • Manyika J., Chui M., Brown B. et a Big data: The next frontier for innovation, competition, and productivity. Analyst report, McKinsey Global Institute, May 2011, 143 p.
  • Seifert C., Sabol V., Kienreich W., Lex E., Granitzer M. Visual analysis and knowledge discovery for text. In Large-Scale Data Analytics, Springer, 2014, pp.189–
  • Schonlau M. Visualizing non-hierarchical and hierarchical cluster analyses with clustergrams // Journal of Computational Statistics, 2004, vol.19, no.11, pp.95–
  • http://developers.google.com.
  • amcharts.com.
  • Vigas F, Wattenberg M. IBM—Many Eyes Project, 2013, 7 p. http://hint.fm/papers/viegasinfovis07.pdf.
  • Ali S.M., Gupta N., Nayak G.K., Lenka R.K. Big Data Visualization: Tools and Challenges / 2nd International Conference on Contemporary Computing and Informatics (IC3I), 2016, pp.656–660
  • Automatically Grab Data From an Image with WebPlotDigitizer. https://plotlyblog.tumblr.com/post/70293893434/automatically-grab-data-from-an-image-with.
  • Agrawal R., Kadadi A., Dai X., Andres F. Challenges and oppotunities with big data visualization / of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems, 2015, pp.169–173.