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Cohort Query Processing

Summary: Extends SQL with three new operators to support cohort analysis on large user activity tables. Three evaluation schemes are explored: two non-intrusive and a columnar variant with cohort-specific optimizations; experiments show the columnar approach outperforms the others. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11388
Venue
VLDB
Year
2017
Pagerank
4.5598377e-05
Overall Rank
8,189 | 43.09%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
5,959 Fine-grained Concept Linking using Neural Networks in Healthcare 2018 SIGMOD 5.2514585e-05
8,174 Sigma Workbook: A Spreadsheet for Cloud Data Warehouses 2022 VLDB 4.5638044e-05
11,037 CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics 2024 VLDB 4.1905499e-05
11,658 Data Pipelines for User Group Analytics 2019 SIGMOD 4.1905499e-05
11,761 Effective Temporal Dependence Discovery in Time Series Data 2018 VLDB 4.1905499e-05
13,331 Cohort Analysis with Ease 2018 SIGMOD -
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