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: 4995
Venue: SIGMOD
Year: 2015
Pagerank: 0.00014655327
Overall Rank: 715 | 95.10%
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
321	Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems	2018	PODS	0.00021283186
536	Learning Linear Regression Models over Factorized Joins	2016	SIGMOD	0.0001693369
764	To Join or Not to Join? Thinking Twice about Joins before Feature Selection	2016	SIGMOD	0.00014226652
802	Random Sampling over Joins Revisited	2018	SIGMOD	0.00013907725
1,235	Towards Linear Algebra over Normalized Data	2017	VLDB	0.00011548457
1,250	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011485301
1,569	HELIX: Holistic Optimization for Accelerating Iterative Machine Learning	2019	VLDB	0.00010335423
1,756	SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle	2020	CIDR	9.8172465e-05
2,161	DIFF: A Relational Interface for Large-Scale Data Explanation	2019	VLDB	9.0606664e-05
2,162	Heterogeneity-aware Distributed Parameter Servers	2017	SIGMOD	9.0581831e-05
2,179	Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra	2019	SIGMOD	9.0146333e-05
2,239	An Intermediate Representation for Optimizing Machine Learning Pipelines	2019	VLDB	8.8875753e-05
2,266	On Functional Aggregate Queries with Additive Inequalities	2019	PODS	8.8391372e-05
2,769	A Layered Aggregate Engine for Analytics Workloads	2019	SIGMOD	8.1465406e-05
2,865	End-to-end Optimization of Machine Learning Prediction Queries	2022	SIGMOD	8.0180243e-05
2,927	In-Database Learning with Sparse Tensors	2018	PODS	7.9531195e-05
3,206	Incremental View Maintenance with Triple Lock Factorization Benefits	2018	SIGMOD	7.6367549e-05
3,284	SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning	2017	CIDR	7.5663058e-05
3,459	A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics	2018	VLDB	7.3953716e-05
3,490	MLog: Towards Declarative In-Database Machine Learning	2017	VLDB	7.3667971e-05
3,573	VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale	2020	SIGMOD	7.2977194e-05
3,681	Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?	2018	VLDB	7.2037388e-05
3,682	In-RDBMS Hardware Acceleration of Advanced Analytics	2018	VLDB	7.2035518e-05
4,023	Smurf: Self-Service String Matching Using Random Forests	2019	VLDB	6.949387e-05
4,128	The Relational Data Borg is Learning	2020	VLDB	6.8850804e-05
4,571	GeCo: Quality Counterfactual Explanations in Real Time	2021	VLDB	6.625099e-05
4,799	Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models	2017	VLDB	6.5024714e-05
5,414	Optimizing Tensor Programs on Flexible Storage	2023	SIGMOD	6.2258658e-05
5,551	PGMJoins: Random Join Sampling with Graphical Models	2021	SIGMOD	6.1782856e-05
5,557	Demonstration of Santoku: Optimizing Machine Learning over Normalized Data	2015	VLDB	6.17499e-05
5,593	Beyond Equi-joins: Ranking, Enumeration and Factorization	2021	VLDB	6.1552328e-05
5,601	Optimal Join Algorithms Meet Top-k	2020	SIGMOD	6.1540123e-05
5,785	BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees	2019	SIGMOD	6.0892672e-05
6,038	Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse	2018	VLDB	5.9990929e-05
6,143	ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation	2019	VLDB	5.9622615e-05
6,339	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle	2022	SIGMOD	5.907165e-05
6,485	Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent	2019	SIGMOD	5.8657457e-05
7,000	A Cost-based Optimizer for Gradient Descent Optimization	2017	SIGMOD	5.7287645e-05
7,112	Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning	2023	VLDB	5.6990782e-05
7,985	Schema Independent Relational Learning	2017	SIGMOD	5.5125969e-05
8,513	Galley: Modern Query Optimization for Sparse Tensor Programs	2025	SIGMOD	5.4119882e-05
8,638	Towards A Polyglot Framework for Factorized ML	2021	VLDB	5.395289e-05
8,794	AWARE: Workload-aware, Redundancy-exploiting Linear Algebra	2023	SIGMOD	5.370464e-05
8,908	Privacy and Accuracy-Aware AI/ML Model Deduplication	2025	SIGMOD	5.3483178e-05
8,979	Cerebro: A Layered Data Platform for Scalable Deep Learning	2021	CIDR	5.3399615e-05
9,371	Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning	2021	VLDB	5.275595e-05
9,675	BlockJoin: Efficient Matrix Partitioning Through Joins	2017	VLDB	5.2380072e-05
9,719	Subset Sampling over Joins	2026	PODS	5.2319816e-05
9,993	In-Database Data Imputation	2024	SIGMOD	5.1815618e-05
10,153	Faster Relational Algorithms Using Geometric Data Structures	2026	PODS	5.093636e-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	0.0024089429
71	Including Group-By in Query Optimization	1994	VLDB	0.00038021159
106	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033539462
206	Eager Aggregation and Lazy Aggregation	1995	VLDB	0.00025092273
518	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00017167492
532	MLbase: A Distributed Machine-learning System	2013	CIDR	0.00017072641
640	Materialization Optimizations for Feature Selection Workloads	2014	SIGMOD	0.00015409494
835	Scaling Factorization Machines to Relational Data	2013	VLDB	0.00013721583
860	Aggregation and Ordering in Factorised Databases	2013	VLDB	0.00013560445
993	Simulation of Database-Valued Markov Chains Using SimSQL	2013	SIGMOD	0.00012789598
1,333	Ricardo: Integrating R and Hadoop	2010	SIGMOD	0.0001112858
2,059	LINVIEW: Incremental View Maintenance for Complex Analytical Queries	2014	SIGMOD	9.2471145e-05
2,604	Brainwash: A Data System for Feature Engineering	2013	CIDR	8.3524514e-05
5,695	Incrementally Maintaining Classification using an RDBMS	2011	VLDB	6.1183313e-05
7,403	Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System	2013	VLDB	5.6249895e-05

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