Name
Abstract | ||
|---|---|---|
This paper presents our approach for solving the IEEE VAST 2014 Mini Challenge 1. To solve this challenge we performed different tasks related to data processing and utilized different visualization techniques to explore the data. In this paper we present our application VACI: Visual Analytics for Criminal Investigation and discuss the design and the features. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/VAST.2014.7042543 | IEEE VAST |
Keywords | Field | DocType |
visual analytics,criminal investigation,information visualization | Data science,Data mining,World Wide Web,Information visualization,Software analytics,Computer science,Visual analytics,Semantic analytics,Interactive visual analysis,Cultural analytics,Analytics,Creative visualization | Conference |
ISSN | Citations | PageRank |
2325-9442 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rahul Kamal Bhaskar | 1 | 0 | 0.68 |
| Julia Paredes | 2 | 0 | 0.34 |
| Zahra Shaken | 3 | 0 | 0.34 |
| Zahra Sahaf | 4 | 0 | 1.01 |
| Haleh Alemasoom | 5 | 2 | 1.05 |
| Craig Anslow | 6 | 140 | 25.77 |
| Frank Maurer | 7 | 1159 | 89.71 |
| Mario Costa Sousa | 8 | 986 | 68.96 |
| F. F. Samavati | 9 | 31 | 4.16 |