Tree-IS: Efficient Index Selection and Optimization Model for Dynamic Workloads.

Qiao S, Yang L, Tang R, Xia S, Yue K, Han N, Xu Q, Yang C, Li H, Wu X

Open source

DOI
10.1109/tnnls.2026.3714085
Published
2026 Jul 23
Container
IEEE transactions on neural networks and learning systems
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1109/tnnls.2026.3714085,
  title = {Tree-IS: Efficient Index Selection and Optimization Model for Dynamic Workloads.},
  author = {Qiao S and Yang L and Tang R and Xia S and Yue K and Han N and Xu Q and Yang C and Li H and Wu X},
  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  - Qiao S
AU  - Yang L
AU  - Tang R
AU  - Xia S
AU  - Yue K
AU  - Han N
AU  - Xu Q
AU  - Yang C
AU  - Li H
AU  - Wu X
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

S, Q., L, Y., R, T., S, X., K, Y., N, H., Q, X., C, Y., H, L., & X, W. (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

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