Name
Abstract | ||
|---|---|---|
With the rapid development of programming platforms, how to utilize the tremendous amount of data produced by the platforms, such as Scatch, has been a big challenge to researchers. The growing data is not only huge, but also heterogeneous and diverse, leading that the existing tools cannot effectively extract valuable information. In this article, considering particular features of Scratch data, ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TETC.2020.2996710 | IEEE Transactions on Emerging Topics in Computing |
Keywords | DocType | Volume |
Data mining,Feature extraction,Labeling,Programming profession,Tools,Visualization | Journal | 10 |
Issue | ISSN | Citations |
1 | 2168-6750 | 1 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Qi | 1 | 1 | 0.36 |
| Yan Sun | 2 | 68 | 12.27 |
| Hong Luo | 3 | 335 | 31.84 |
| Mohsen Guizani | 4 | 6456 | 557.44 |