Computational Thinking, Inferential Thinking and "Big Data"

Summary: Advocates fusing computational (algorithms, scalability) and inferential (sampling, uncertainty) perspectives for Big Data. Surveys DB/ML directions—distributed inference, subsampling, time–data and inference–privacy tradeoffs—urging joint theory and methods. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 1666
Venue: PODS
Year: 2015
Pagerank: -
Overall Rank: 13,572 | 6.89%
DOI: 10.1145/2745754.2745782

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Michael I. Jordan (University of California Berkeley)

BibTeX Citation

@inproceedings{jordan_pods15,
        address = {New York, NY, USA},
        series = {{PODS} '15},
        title = {{Computational Thinking, Inferential Thinking and "Big Data"}},
        url = {https://dl.acm.org/doi/10.1145/2745754.2745782},
        doi = {10.1145/2745754.2745782},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Jordan, Michael I.},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	13,712	Database Systems Research on Data Mining	2010	SIGMOD
2	6,994	Performing Inferences Over Relation Data Bases	1975	SIGMOD
3	11,903	(Artificial) Mind over Matter: Integrating Humans and Algorithms in Solving Matching Problems	2018	SIGMOD
4	8,676	Machine Learning for Data Management: Problems and Solutions	2018	SIGMOD
5	14,249	Database Metatheory: Asking the Big Queries	1995	PODS
6	13,343	Database Perspective on LLM Inference Systems	2025	VLDB
7	12,304	Approximate Computation and Implicit Regularization for Very Large-scale Data Analysis	2012	PODS
8	6,576	Toward Interpretable and Actionable Data Analysis with Explanations and Causality	2022	VLDB
9	3,678	Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype?	2015	SIGMOD
10	4,859	Machine Learning for Big Data	2013	SIGMOD