Learning Generalized Linear Models Over Normalized Data

Summary: Factorized learning for gradient-descent GLMs over normalized data; pushes computations through joins to avoid I/O redundancy. Empirical results show factorized learning faster than join-then-learn, with a cost-based strategy; extends to multi-table joins and Hive. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h739b2af8800a7bbd
Venue: SIGMOD
Year: 2015
Pagerank: 0.00014363943
Overall Rank: 731 | 95.11%
DOI: 10.1145/2723372.2723713

Incoming Non-self Citations Over Time

Authors

1. Arun Kumar (University of Wisconsin)
2. Jeffrey Naughton (University of Wisconsin)
3. Jignesh M. Patel (University of Wisconsin)

BibTeX Citation

@inproceedings{kumar_sigmod15,
        title = {{Learning Generalized Linear Models Over Normalized Data}},
        author = {Kumar, Arun and Naughton, Jeffrey and Patel, Jignesh M.},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2723713},
        url = {https://dl.acm.org/doi/10.1145/2723372.2723713},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 56 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
318	Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems	2018	PODS	0.00021178303
522	Learning Linear Regression Models over Factorized Joins	2016	SIGMOD	0.00016893112
783	To Join or Not to Join? Thinking Twice about Joins before Feature Selection	2016	SIGMOD	0.00014015599
793	Random Sampling over Joins Revisited	2018	SIGMOD	0.00013903938
1,200	Towards Linear Algebra over Normalized Data	2017	VLDB	0.00011524945
1,226	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011432354
1,567	HELIX: Holistic Optimization for Accelerating Iterative Machine Learning	2019	VLDB	0.00010179013
1,616	SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle	2020	CIDR	0.00010048776
2,167	DIFF: A Relational Interface for Large-Scale Data Explanation	2019	VLDB	8.9166414e-05
2,196	Heterogeneity-aware Distributed Parameter Servers	2017	SIGMOD	8.8807201e-05
2,204	Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra	2019	SIGMOD	8.8531297e-05
2,278	An Intermediate Representation for Optimizing Machine Learning Pipelines	2019	VLDB	8.6993865e-05
2,316	On Functional Aggregate Queries with Additive Inequalities	2019	PODS	8.6404062e-05
2,672	End-to-end Optimization of Machine Learning Prediction Queries	2022	SIGMOD	8.1301225e-05
2,673	A Layered Aggregate Engine for Analytics Workloads	2019	SIGMOD	8.1276375e-05
2,974	In-Database Learning with Sparse Tensors	2018	PODS	7.7812156e-05
3,122	Incremental View Maintenance with Triple Lock Factorization Benefits	2018	SIGMOD	7.6091671e-05
3,331	SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning	2017	CIDR	7.4065701e-05
3,520	MLog: Towards Declarative In-Database Machine Learning	2017	VLDB	7.2180592e-05
3,528	A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics	2018	VLDB	7.2134232e-05
3,643	VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale	2020	SIGMOD	7.1227166e-05
3,674	Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?	2018	VLDB	7.090133e-05
3,746	In-RDBMS Hardware Acceleration of Advanced Analytics	2018	VLDB	7.0369561e-05
4,080	Smurf: Self-Service String Matching Using Random Forests	2019	VLDB	6.8020845e-05
4,174	The Relational Data Borg is Learning	2020	VLDB	6.750725e-05
4,686	GeCo: Quality Counterfactual Explanations in Real Time	2021	VLDB	6.4519834e-05
4,730	Optimal Join Algorithms Meet Top-k	2020	SIGMOD	6.4313418e-05
4,927	Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models	2017	VLDB	6.3408733e-05
5,459	Optimizing Tensor Programs on Flexible Storage	2023	SIGMOD	6.1054526e-05
5,506	Beyond Equi-joins: Ranking, Enumeration and Factorization	2021	VLDB	6.0883761e-05
5,671	PGMJoins: Random Join Sampling with Graphical Models	2021	SIGMOD	6.026372e-05
5,684	Demonstration of Santoku: Optimizing Machine Learning over Normalized Data	2015	VLDB	6.02198e-05
5,885	BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees	2019	SIGMOD	5.9421702e-05
6,164	Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse	2018	VLDB	5.8508462e-05
6,259	ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation	2019	VLDB	5.815406e-05
6,474	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle	2022	SIGMOD	5.7555547e-05
6,603	Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent	2019	SIGMOD	5.7204739e-05
6,654	Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning	2023	VLDB	5.7038474e-05
7,168	A Cost-based Optimizer for Gradient Descent Optimization	2017	SIGMOD	5.5794432e-05
8,172	Schema Independent Relational Learning	2017	SIGMOD	5.3698391e-05
8,300	Subset Sampling over Joins	2026	PODS	5.3434957e-05
8,407	AWARE: Workload-aware, Redundancy-exploiting Linear Algebra	2023	SIGMOD	5.3219903e-05
8,710	Galley: Modern Query Optimization for Sparse Tensor Programs	2025	SIGMOD	5.2705676e-05
8,805	Towards A Polyglot Framework for Factorized ML	2021	VLDB	5.2581471e-05
9,101	Privacy and Accuracy-Aware AI/ML Model Deduplication	2025	SIGMOD	5.208561e-05
9,175	Cerebro: A Layered Data Platform for Scalable Deep Learning	2021	CIDR	5.2004231e-05
9,589	Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning	2021	VLDB	5.1377385e-05
9,826	BlockJoin: Efficient Matrix Partitioning Through Joins	2017	VLDB	5.1083104e-05
10,218	In-Database Data Imputation	2024	SIGMOD	5.0461625e-05
10,448	Faster Relational Algorithms Using Geometric Data Structures	2026	PODS	4.9605343e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
1	Access Path Selection in a Relational Database Management System	1979	SIGMOD	0.0023948467
73	Including Group-By in Query Optimization	1994	VLDB	0.00037420958
105	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033605348
213	Eager Aggregation and Lazy Aggregation	1995	VLDB	0.00024695393
506	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00017158546
538	MLbase: A Distributed Machine-learning System	2013	CIDR	0.00016725463
656	Materialization Optimizations for Feature Selection Workloads	2014	SIGMOD	0.00015052106
848	Aggregation and Ordering in Factorised Databases	2013	VLDB	0.00013463236
851	Scaling Factorization Machines to Relational Data	2013	VLDB	0.00013448823
1,009	Simulation of Database-Valued Markov Chains Using SimSQL	2013	SIGMOD	0.00012518224
1,375	Ricardo: Integrating R and Hadoop	2010	SIGMOD	0.00010861932
2,083	LINVIEW: Incremental View Maintenance for Complex Analytical Queries	2014	SIGMOD	9.0563677e-05
2,596	Brainwash: A Data System for Feature Engineering	2013	CIDR	8.2258492e-05
5,822	Incrementally Maintaining Classification using an RDBMS	2011	VLDB	5.9655757e-05
7,555	Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System	2013	VLDB	5.4797204e-05

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