TY - GEN
T1 - PolyFit
T2 - Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries
AU - Li, Zhe
AU - Chan, Tsz Nam
AU - Yiu, Man Lung
AU - Jensen, Christian S.
N1 - This work was supported by grant GRF 152050/19E from the Hong Kong RGC.
PY - 2021/3/23
Y1 - 2021/3/23
N2 - Range aggregate queries find frequent application in data ana- lytics. In many use cases, approximate results are preferred over accurate results if they can be computed rapidly and satisfy ap- proximation guarantees. Inspired by a recent indexing approach, we provide means of representing a discrete point dataset by continuous functions that can then serve as compact index struc- tures. More specifically, we develop a polynomial-based indexing approach, called PolyFit, for processing approximate range ag- gregate queries. PolyFit is capable of supporting multiple types of range aggregate queries, including COUNT, SUM, MIN and MAX aggregates, with guaranteed absolute and relative error bounds. Experimental results show that PolyFit is faster and more accurate and compact than existing learned index structures.
AB - Range aggregate queries find frequent application in data ana- lytics. In many use cases, approximate results are preferred over accurate results if they can be computed rapidly and satisfy ap- proximation guarantees. Inspired by a recent indexing approach, we provide means of representing a discrete point dataset by continuous functions that can then serve as compact index struc- tures. More specifically, we develop a polynomial-based indexing approach, called PolyFit, for processing approximate range ag- gregate queries. PolyFit is capable of supporting multiple types of range aggregate queries, including COUNT, SUM, MIN and MAX aggregates, with guaranteed absolute and relative error bounds. Experimental results show that PolyFit is faster and more accurate and compact than existing learned index structures.
UR - https://openproceedings.org/html/pages/2021_edbt.html
U2 - 10.5441/002/edbt.2021.22
DO - 10.5441/002/edbt.2021.22
M3 - Conference proceeding
SN - 9783893180844
T3 - Proceedings of the International Conference on Extending Database Technology
SP - 241
EP - 252
BT - Advances in Database Technology - EDBT 2021 - 24th International Conference on Extending Database Technology, Proceedings
A2 - Velegrakis, Yannis
A2 - Zeinalipour, Demetris
A2 - Chrysanthis, Panos K.
A2 - Guerra, Francesco
PB - OpenProceedings
CY - Konstanz
ER -