In this paper, we present an effective and efficient approach to estimate the join selectivity for relation-tree joins, which consists of a value join ...

This work proposes an estimation method called location-value estimation (LVE) model based on KDE, which considers both value joins and structural joins in ...

This paper presents a new analytical method for estimating the location of a target using directional data. Based on a nonlinear programming (NLP) problem ...

Abstract—Join selectivity estimation is a fundamental problem in query optimization, which aims to estimate the cardinality returned by a join query.

Jul 30, 2020 · This paper studies the problem of selectivity estimation for cross-model joins with relational and tree-structured data. Our estimator is based ...

This paper proposes a two-level sampling method that samples the relational tuples and tree nodes at two levels and applies the discrete learning algorithm ...

Oct 19, 2020 · In this work, we propose an estimation method called location-value estimation (LVE) model based on KDE, which considers both value joins and ...

Estimating the result size of complex queries that involve selection on mul- tiple attributes and the join of several relations is a difficult but ...

Jun 15, 2022 · ABSTRACT. Selectivity estimation refers to the ability of the SQL query opti- mizer to estimate the size of the results of a predicate in ...

Selectivity estimation for relation-tree joins. C Zhang, J Lu. Proceedings of the 32nd International Conference on Scientific and …, 2020. 7, 2020. AutoCE: An ...