Cohort Analysis with Ease
Summary: COHANA is a specialized cohort-analysis query processor that overcomes efficiency and operability gaps in traditional DB systems. The demo offers an easy interface, key cohort-use cases, and visualizations to validate assumptions and reveal trends. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Zhongle Xie
- 2. Qingchao Cai
- 3. Fei He
- 4. Gene Yan Ooi
- 5. Weilong Huang
- 6. Beng Chin Ooi
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,753 | Effective Temporal Dependence Discovery in Time Series Data | 2018 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,189 | Cohort Query Processing | 2017 | VLDB | 4.5642142e-05 |
| 11,753 | Effective Temporal Dependence Discovery in Time Series Data | 2018 | VLDB | 4.1945683e-05 |
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