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Analyzing tagging patterns by integrating visual analytics with the inferential test

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Resource type
Conference Paper
Author/contributor
Title
Analyzing tagging patterns by integrating visual analytics with the inferential test
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. © 2015 Author.
Proceedings Title
ACM/IEEE Joint Conference on Digital Libraries
Publisher
Institute of Electrical and Electronics Engineers Inc.
Date
2015
Pages
255-256
DOI
10.1145/2756406.2756962
ISBN
15525996 (ISSN); 9781450335942 (ISBN)
Citation Key
pop00366
URL
https://dl.acm.org/citation.cfm?id=2756962
Language
English
Extra
0 citations (Crossref) [2023-10-31] tex.type: Proceedings paper
Citation
Choi, Y. (2015). Analyzing tagging patterns by integrating visual analytics with the inferential test. ACM/IEEE Joint Conference on Digital Libraries, 255–256. https://doi.org/10.1145/2756406.2756962
Link to this record
https://libweb.southernct.edu/authors/bibliography/V6AMDN4S