Tree-IS: Efficient Index Selection and Optimization Model for Dynamic Workloads
- DOI
- 10.1109/tnnls.2026.3714085
- Published
- 2026
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3714085,
title = {Tree-IS: Efficient Index Selection and Optimization Model for Dynamic Workloads},
author = {Shaojie Qiao and Lei Yang and Rongmin Tang and Shuyin Xia and Kun Yue and Nan Han and Quanqing Xu and Chunfang Yang and Hui Li and Xindong Wu},
year = {2026},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2026.3714085},
url = {https://doi.org/10.1109/tnnls.2026.3714085}
}RIS
TY - JOUR TI - Tree-IS: Efficient Index Selection and Optimization Model for Dynamic Workloads AU - Shaojie Qiao AU - Lei Yang AU - Rongmin Tang AU - Shuyin Xia AU - Kun Yue AU - Nan Han AU - Quanqing Xu AU - Chunfang Yang AU - Hui Li AU - Xindong Wu PY - 2026 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2026.3714085 UR - https://doi.org/10.1109/tnnls.2026.3714085 ER -
APA
Qiao, S., Yang, L., Tang, R., Xia, S., Yue, K., Han, N., Xu, Q., Yang, C., Li, H., & Wu, X. (2026). Tree-IS: Efficient Index Selection and Optimization Model for Dynamic Workloads. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2026.3714085
Source records
- crossref · retrieved 2026-11-10T12:09:23.437Z