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Simulation of Database-Valued Markov Chains Using SimSQL

Summary: Introduces SimSQL (extending MCDB) for SQL-based spec, simulation, and querying of database-valued Markov chains. VG functions parametrized by stochastic tables, recursive stochastic tables, and MapReduce, enabling cascading parameterizations for Bayesian ML. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
he279bbb5da13b735
Venue
SIGMOD
Year
2013
Pagerank
0.00012518224
Overall Rank
1,009 | 93.24%
DOI
10.1145/2463676.2465283

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cai_sigmod13,
        title = {{Simulation of Database-Valued Markov Chains Using SimSQL}},
        author = {Cai, Zhuhua and Vagena, Zografoula and Perez, Luis and Arumugam, Subramanian and Haas, Peter J. and Jermaine, Christopher},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465283},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465283},
        year = {2013}
}

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415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00018619173
731 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014363943
783 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014015599
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
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
2,407 Declarative Recursive Computation on an RDBMS or, Why You Should Use a Database For Distributed Machine Learning 2019 VLDB 8.4928721e-05
3,528 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.2134232e-05
3,577 A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms 2014 SIGMOD 7.1748186e-05
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4,762 Tensor Relational Algebra for Distributed Machine Learning System Design 2021 VLDB 6.4190861e-05
4,927 Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models 2017 VLDB 6.3408733e-05
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6,144 Generative Datalog with Continuous Distributions 2020 PODS 5.8561863e-05
6,159 The BUDS Language for Distributed Bayesian Machine Learning 2017 SIGMOD 5.851731e-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
6,613 A Relational Matrix Algebra and its Implementation in a Column Store 2020 SIGMOD 5.7168098e-05
6,762 Efficiently Answering Durability Prediction Queries 2021 SIGMOD 5.6704515e-05
8,450 Tuple-Independent Representations of Infinite Probabilistic Databases 2021 PODS 5.3148581e-05
8,787 Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning 2017 SIGMOD 5.263678e-05
8,878 Machine Learning Meets Big Spatial Data 2019 VLDB 5.2449044e-05
9,076 Stochastic Package Queries in Probabilistic Databases 2020 SIGMOD 5.2109641e-05
9,669 Poisson Sampling over Acyclic Joins 2026 SIGMOD 5.1275185e-05
10,582 Variational Inference for De Finetti Logic 2026 SIGMOD 4.9605343e-05
11,587 StarfishDB: a Query Execution Engine for Relational Probabilistic Programming 2024 SIGMOD 4.9605343e-05
11,872 Augmenting Decision Making via Interactive What-If Analysis 2022 CIDR 4.9605343e-05
12,506 Model-Data Ecosystems: Challenges, Tools, and Trends 2014 PODS 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

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