Name
Abstract | ||
|---|---|---|
In this paper we show an alternative approach to the standard data mining tools for detecting outliers both in sampling rates and in the measurements derived from those samples. Our interactive tool fits in the context of the VAST Mini Challenge 2, regarding the alleged chemical dumpings in the Boonsong Lekagul Wildlife Preserve. The approach developed comprises an interactive dashboard built in R using mainly the Plotly and Shiny packages that allows the user to choose the summary statistics for the sample sizes and to select which measurements (e.g. locations, chemicals) to analyse. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/VAST.2018.8802453 | 2018 IEEE Conference on Visual Analytics Science and Technology (VAST) |
Keywords | Field | DocType |
Multivariate Analysis,Statistical Analysis,R,Interactive Visualization | Data mining,Computer science,Outlier,Interactive visualization,Sampling (statistics),Summary statistics,Dashboard (business),Multivariate analysis,Sample size determination,Statistical analysis | Conference |
ISSN | ISBN | Citations |
2325-9442 | 978-1-5386-6862-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo Santoro | 1 | 0 | 0.68 |
| Rubén Flecha | 2 | 0 | 0.34 |
| Juan Pablo Pilorget | 3 | 0 | 0.34 |