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The Case for Personal Data-Driven Decision Making

Summary: Proposes personal data-driven decision making: personalized, example-based queries that predict outcomes for an individual rather than evaluate fixed predicates. Frames a data-management research agenda for extracting decision support from heterogeneous, context-dependent datasets. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11160
Venue
VLDB
Year
2014
Pagerank
5.093636e-05
Overall Rank
12,217 | 16.19%
DOI
10.14778/2732967.2732973

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Authors

BibTeX Citation

@article{duggan_vldb14,
        title = {{The Case for Personal Data-Driven Decision Making}},
        author = {Duggan, Jennie},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {11},
        pages = {943--954},
        doi = {10.14778/2732967.2732973},
        url = {https://doi.org/10.14778/2732967.2732973},
        year = {2014}
}

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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
314 Making Database Systems Usable 2007 SIGMOD 0.00021574636
404 Hippocratic Databases 2002 VLDB 0.00019065022
532 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00017072641
2,342 Query-Based Data Pricing 2012 PODS 8.7217471e-05
2,604 Brainwash: A Data System for Feature Engineering 2013 CIDR 8.3524514e-05
4,828 CQL: A Query Language for Manipulating Object-oriented Databases 1989 VLDB 6.4892476e-05
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