Analysis and Visualization of Large-Scale Time Series Network Data

  • Patricia MorrealeEmail author
  • Allan Goncalves
  • Carlos Silva
Part of the Modeling and Optimization in Science and Technologies book series (MOST, volume 4)


Large amounts of data (“big data”) are readily available and collected daily by global networks worldwide. However, much of the real-time utility of this data is not realized, as data analysis tools for very large datasets, particularly time series data are cumbersome. A methodology for data cleaning and preparation needed to support big data analysis is presented, along with a comparative examination of three widely available data mining tools. This methodology and offered tools are used for analysis of a large-scale time series dataset of environmental data. The case study of environmental data analysis is presented as visualization, providing future direction for data mining on massive data sets gathered from global networks, and an illustration of the use of big data technology for predictive data modeling and assessment.


Wireless Sensor Network Association Rule Time Series Data Environmental Sustainability Exploratory Spatial Data Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Holtz, S., Valle, G., Howard, J., Morreale, P.: Visualization and Pattern Identification in Large Scale Time Series Data. In: IEEE Symposium on Large Scale Data Analysis and Visualization (LDAV 2011), Providence, RI, pp. 17–18 (2011)Google Scholar
  2. 2.
    Morreale, P., Qi, F., Croft, P.: A Green Wireless Sensor Network for Environmental Monitoring and Risk Identification. International Journal on Sensor Networks 10(1/2), 73–82 (2011)CrossRefGoogle Scholar
  3. 3.
    Shyu, C., Klaric, M., Scott, G., Mahamaneerat, W.: Knowledge Discovery by Mining Association Rules and Temporal-Spatial Information from Large-Scale Geospatial Image Databases. In: Proceedings of the IEEE International Symposium on Geoscience and Remote Sensing (IGARSS 2006), pp. 17–20 (2006)Google Scholar
  4. 4.
    Zhu, C., Zhang, X., Sun, J., Huang, B.: Algorithm for Mining Sequential Pattern in Time Series Data. In: Proceedings of the IEEE 2009 WRI International Conference on Communications and Mobile Computing, pp. 258–262 (2009)Google Scholar
  5. 5.
    NOAA Integrated Surface Database (GSOD), (retrieved June 12, 2013)
  6. 6.
    NOAA Global Historical Climatology Network (GHCN) Database, (retrieved June 12, 2013)
  7. 7.
    Han, J., Rodriguez, J.C., Beheshti, M.: Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner. In: IEEE Proceedings of the 2nd International Conference on Future Generation Communication and Networking (FGCN 2008), pp. 96–99 (2008)Google Scholar
  8. 8.
    Weka’s website, (retrieved June 12, 2013)
  9. 9.
    RapidMiner’s website, (retrieved June 12, 2013)
  10. 10.
    Orange’s website, (retrieved June 12, 2013)
  11. 11.
    Shafait, F., Reif, M., Kofler, C., Breuel, T.R.: Pattern Recognition Engineering. In: RapidMiner Community Meeting and Conference (RMiner 2010), Dortmund, Germany (2010)Google Scholar
  12. 12.
    DPlot’s website, (retrieved June 12, 2013)
  13. 13.
    Thuraisingham, B., Khan, L., Clifton, C., Maurer, J., Ceruti, M.: Dependable Real-time Data Mining. In: Proceedings of the 8th IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC 2005), pp. 158–165 (2005)Google Scholar
  14. 14.
    Martinez, K., Hart, J.K., Ong, R.: Environmental Sensor Networks. IEEE Computer, 50–56 (August 2004)Google Scholar
  15. 15.
    Lewis, F.L.: Wireless Sensor Networks. In: Cooke, D.J., Das, S.K. (eds.) Smart Environments: Technologies, Protocols, and Applications. John Wiley, New York (2004)Google Scholar
  16. 16.
    Zimmerman, A.T., Lynch, J.P.: Data Driven Model Updating using Wireless Sensor Networks. In: Proceedings of the 3rd Annual ANCRiSST Workshop (2006)Google Scholar
  17. 17.
    Chang, N., Guo, D.: Urban Flash Flood Monitoring, Mapping, and Forecasting via a Tailored Sensor Network System. In: Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, pp. 757–761 (2006)Google Scholar
  18. 18.
    Cordova-Lopez, L.E., Mason, A., Cullen, J.D., Shaw, A., Al-Shamma’a, A.I.: Online vehicle and atmospheric pollution monitoring using GIA and wireless sensor networks. Journal of Physics: Conference Series 76(1) (2007)Google Scholar
  19. 19.
    Gahegan, M., Wachowicz, M., Harrower, M., Rhyne, T.-M.: The Integration of geographic visualization with knowledge discovery in databases and geocomputation. Cartography and Geographic Information Science 28(1), 29–44 (2001)CrossRefGoogle Scholar
  20. 20.
    Arici, T., Akgu, T., Altunbasak, Y.: A Prediction Error-Based Hypothesis Testing Method for Sensor Data Acquisition. ACM Transactions on Sensor Networks 2(4), 529–556 (2006)CrossRefGoogle Scholar
  21. 21.
    Monmonier, M.: Geographic brushing: Enhancing exploratory analysis of the scatter plot matrix. Geographical Analysis 21(1), 81–84 (1989)CrossRefGoogle Scholar
  22. 22.
    MacEachren, A.M., Polsky, C., Haug, D., Brown, D., Boscoe, F., Beedasy, J., Pickle, L., Marrara, M.: Visualizing spatial relationships among health, environmental, and demographic statistics: interface design issues. In: 18th International Cartographic Conference Stockholm, pp. 880–887 (1997)Google Scholar
  23. 23.
    Monmonier, M.: Strategies for the visualization of geographic time-series data. Cartographica 27(1), 30–45 (1990)CrossRefGoogle Scholar
  24. 24.
    Harrower, M.: Visual Benchmarks: Representing Geographic Change with Map Animation. Ph.D. dissertation, Pennsylvania State University (2002)Google Scholar
  25. 25.
    Mueen, A., Keogh, E.: Online Discovery and Maintenance of Time Series Motifs. In: Proceedings of 16th ACM Conference on Knowledge Discovery and Data Mining (KDD 2010), pp. 1089–1098 (2010)Google Scholar
  26. 26.
    Morreale, P., Qi, F., Croft, P., Suleski, R., Sinnicke, B., Kendall, F.: Real-Time Environmental Monitoring and Notification for Public Safety. IEEE Multimedia 17(2), 4–11 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Patricia Morreale
    • 1
    Email author
  • Allan Goncalves
    • 1
  • Carlos Silva
    • 1
  1. 1.Department of Computer ScienceKean UniversityUnionUSA

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