Capturing the Laws of (Data) Nature

Summary: Treat user-fitted statistical models as first-class DB artifacts to capture domain “laws” and data semantics beyond schemas. Use those models to drive physical storage layout and high-accuracy approximate query answering, demonstrated on an astronomy use case. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 279
Venue: CIDR
Year: 2015
Pagerank: 4.1945683e-05
Overall Rank: 11,897 | 17.24%
DOI: -

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,178	A Database System with Amnesia	2017	CIDR	5.1692384e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
182	LEO - DB2's LEarning Optimizer	2001	VLDB	0.00036962631
184	New Sampling-Based Summary Statistics for Improving Approximate Query Answers	1998	SIGMOD	0.00036625711
211	Join Synopses for Approximate Query Answering	1999	SIGMOD	0.00033981214
361	Histogram-Based Approximation of Set-Valued Query Answers	1999	VLDB	0.00025775749
469	MauveDB: Supporting Model-based User Views in Database Systems	2006	SIGMOD	0.00022406923
1,569	Querying Continuous Functions in a Database System	2008	SIGMOD	0.0001132337
1,807	H2O: A Hands-free Adaptive Store	2014	SIGMOD	0.00010487796
1,909	SciBORQ: Scientific data management with Bounds On Runtime and Quality	2011	CIDR	0.00010121304
2,084	The Case for Predictive Database Systems: Opportunities and Challenges	2011	CIDR	9.5820534e-05
2,908	SPARTAN: A Model-Based Semantic Compression System for Massive Data Tables	2001	SIGMOD	7.9306333e-05
4,201	Meet Charles, big data query advisor	2013	CIDR	6.3639451e-05

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