Database Paper Browser

Back to papers

The Case for Personal Data-Driven Decision Making

Summary: PD3M extends D3M to personal, ad-hoc decisions; targets untrained users and avoids domain-specific tools. Decision queries (context, model, data) extrapolate from past similar outcomes using simple models on targeted data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10972
Venue
VLDB
Year
2014
Pagerank
4.1945683e-05
Overall Rank
12,020 | 16.38%
DOI
-

Incoming Non-self Citations Over Time

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

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
257 Making Database Systems Usable 2007 SIGMOD 0.00030223397
355 Hippocratic Databases 2002 VLDB 0.00026087195
543 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00020526854
2,370 Query-Based Data Pricing 2012 PODS 8.9488834e-05
2,915 Brainwash: A Data System for Feature Engineering 2013 CIDR 7.9078385e-05
4,811 OQL: A Query Language for Manipulating Object-oriented Databases 1989 VLDB 5.9061974e-05
Previous Page 1 / 1 Next

Semantically Similar Papers