Name
Title | ||
|---|---|---|
Nonnegative Matrix Factorization Based Heterogeneous Graph Embedding Method for Trigger-Action Programming in IoT |
Abstract | ||
|---|---|---|
Nowadays, users can personalize Internet of Things (IoT) devices/web services via trigger-action programming (TAP). As the number of connected entities grows, the relations of triggers and actions become progressively complex (i.e., the heterogeneity of TAP), which becomes a challenge for existing models to completely preserve the heterogeneous data and semantic information in trigger and action. ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3092774 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Internet of Things,Semantics,Programming,Feature extraction,Cameras,Data mining,Machine learning | Journal | 18 |
Issue | ISSN | Citations |
2 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongheng Xing | 1 | 4 | 1.42 |
| Liang Hu | 2 | 380 | 56.72 |
| Xiaolu Zhang | 3 | 3 | 2.76 |
| Gang Wu | 4 | 42 | 13.30 |
| Feng Wang | 5 | 0 | 0.34 |