Learning Statistical Models from Relational Data

Summary: Survey of Statistical Relational Learning (SRL) for databases; covers SRL concepts, relational feature construction, collective classification, and three SRL systems. Highlights DB applications (entity resolution, selectivity, information integration) and links SRL to probabilistic databases for query-time inference. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4469
Venue: SIGMOD
Year: 2011
Pagerank: 4.5937196e-05
Overall Rank: 8,067 | 43.88%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Lise Getoor
2. Lilyana Mihalkova

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
608	DeepDB: Learn from Data, not from Queries!	2020	VLDB	0.00019235898

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
2,656	Exploiting Shared Correlations in Probabilistic Databases	2008	VLDB	8.3620622e-05

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