Yunseon Choi
ABSTRACT
Due to the large volume and complexity of data, exploring data using visual analytics has become more helpful to interpret and analyze it. The box plot is one of graphical ways and is the most common technique for presenting and summarizing statistics. In this paper, we focus on discussing the tagging patterns by integrating visualization assessment using the box plot with the Shapiro-Wilk test.
- J. Trant. Studying social tagging and folksonomy: A review and framework. Journal of Digital Information, 10 (1). 2009.Google Scholar
- P. Heymann, G. Koutrika, and Garcia-Molina, H. Can Social Bookmarking Improve Web Search? Proceedings of the 1st International Conference on Web Search and Data Mining. 2008. Google ScholarDigital Library
- Y. Choi. Traditional versus Emerging Knowledge Organization Systems: Consistency of Subject Indexing of the Web by Indexers and Taggers. Proceedings of the Annual Meeting of the American Society for Information Science. 2010. Google ScholarDigital Library
- Y. Choi. Social Indexing: A Solution to the Challenges of Current Information Organization. In New Directions in Information Organization. Emerald Group Publishing Limited. 2013.Google Scholar
- Y. Choi. A Complete Assessment of Tagging Quality: A Consolidated Methodology. Journal of the Association for Information Science and Technology (JASIS&T). 2014.Google Scholar
- D. Wolfram and H.A. Olson. A method for comparing large scale inter-indexer consistency using IR modeling. Proceedings of the 35th Annual Conference of the Canadian Association for Information Science. 2007.Google Scholar
- Potter K. Methods for presenting statistical information: the box plot. In: Hagan H, Kerren A, Dannemann P, eds. Visualization of Large and Unstructured Data Sets, GI-Edition Lecture. Notes in Informatics (LNI). 2006.Google Scholar
- T. Kohonen. Self-Organizing Maps. Berlin: Springer-Verlag. 1995. Google ScholarDigital Library
- S. S. Shapiro and M. B. Wilk. An analysis of variance test for normality (complete samples). Biometrika, 52(3/4): 591--611. 1965.Google Scholar
- A. V. Pearson and H. O. Hartley. Biometrica Tables for Statisticians, Vol 2, Cambridge, England: Cambridge University Press. 1972.Google Scholar
Index Terms
- Analyzing Tagging Patterns by Integrating Visual Analytics with the Inferential Test
Recommendations
Visual Analytics Infrastructures: From Data Management to Exploration
Analysts exploring big data require more from information visualization, data analysis, and data management than these components can now deliver. New infrastructures must address the nature of exploration as well as data scale. The Web extra at http://...
Big data exploration through visual analytics
VAST '12: Proceedings of the 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)SAS® Visual Analytics Explorer is an advanced data visualization and exploratory data analysis application that is a component of the SAS Visual Analytics solution. It excels at handling big data problems like the VAST challenge. With a wide range of ...
Effective Big Data Visualization
IDEAS '17: Proceedings of the 21st International Database Engineering & Applications SymposiumIn the last several years, big data analytics has found an increasing role in our everyday lives. Data visualization has long been accepted as an integral part of data analytics. However, data visualization systems are not equipped to handle the ...
Comments