Name
Abstract | ||
|---|---|---|
It has been very significant to visualize time series big data. In the paper we shall discuss design on time series statistical data. As an example, we present an animation of Gibbs sampling process to clarify the time changes. Gibbs sampling is widely used MCMC algorithm in the deep learning field. We consider that an additional z-axis coordinate or a time line are helpful for the visualization and the functions could be implemented automatically by some kind of chart-wizards. We shall discuss the design rules and tips on visualization of time series data. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3095140.3095152 | CGI |
Field | DocType | Citations |
Time series,Data mining,Bayesian inference,Markov chain Monte Carlo,Computer science,Visualization,Animation,Artificial intelligence,Deep learning,Big data,Gibbs sampling | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yukari shirota | 1 | 32 | 18.32 |
| Takako Hashimoto | 2 | 50 | 18.47 |
| Chakraborty, Basabi | 3 | 73 | 18.22 |