ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse

Summary: ApproxML presents materialization-driven approximate ML, reusing previously built models to construct new ones for ad-hoc predictive queries. By caching and composing GLMs, K-means and GMMs, it speeds exploration with bounded accuracy loss, suited to data-management workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11898
Venue: VLDB
Year: 2019
Pagerank: 4.4710004e-05
Overall Rank: 8,651 | 39.88%
DOI: 10.14778/3352063.3352096

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,464	Materialization and Reuse Optimizations for Production Data Science Pipelines	2022	SIGMOD	5.0471003e-05
10,481	Approximating Opaque Top-k Queries	2025	SIGMOD	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
901	To Join or Not to Join? Thinking Twice about Joins before Feature Selection	2016	SIGMOD	0.00015462938
6,329	Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse	2018	VLDB	5.1030159e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
5,817	BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees	2019	SIGMOD	5.3154329e-05
5,306	A Scalable AutoML Approach Based on Graph Neural Networks	2022	VLDB	5.5725759e-05
5,124	Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning	2019	VLDB	5.6747536e-05
6,464	Materialization and Reuse Optimizations for Production Data Science Pipelines	2022	SIGMOD	5.0471003e-05
10,574	Holistic query Approximation via RL Modeling	2025	VLDB	4.1905499e-05
9,391	Sapprox: Enabling Efficient and Accurate Approximations on Sub-datasets with Distribution-aware Online Sampling	2017	VLDB	4.3402854e-05
10,956	Certain and Approximately Certain Models for Statistical Learning	2024	SIGMOD	4.1905499e-05
11,446	Approximation Algorithms for Large Scale Data Analysis	2021	PODS	4.1905499e-05
9,311	On Efficient Approximate Queries over Machine Learning Models	2023	VLDB	4.3535588e-05
6,329	Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse	2018	VLDB	5.1030159e-05