DS_HURNSP: An effective method for mining high utility repeated negative sequential patterns from data streams.
Xiangjun Dong|Yicong Zhen|Ping Qiu|Jing Chi|Lei Guo|Wenpeng Lu|Long Zhao|Yongshun Gong|Yuhai Zhao
| Anthology ID: | DBLP:journals/ipm/DongZQCGLZGZ26 |
|---|---|
| Year: | 2026 |
| Venue: | Information Processing and Management |
| Pages: | 104637 |
| URL: | https://doi.org/10.1016/J.IPM.2026.104637 |
| DOI: | https://doi.org/10.1016/J.IPM.2026.104637 |
| DBLP: | journals/ipm/DongZQCGLZGZ26 |
| BibTeX: |
@article{dong-2026-dshurnsp,
author = {Xiangjun Dong and
Yicong Zhen and
Ping Qiu and
Jing Chi and
Lei Guo and
Wenpeng Lu and
Long Zhao and
Yongshun Gong and
Yuhai Zhao},
title = {{DS_HURNSP: An effective method for mining high utility repeated negative sequential patterns from data streams}},
journal = {Information Processing and Management},
volume = {63},
number = {5},
pages = {104637},
year = {2026},
url = {https://doi.org/10.1016/J.IPM.2026.104637},
doi = {https://doi.org/10.1016/J.IPM.2026.104637}
}