Name
Abstract | ||
|---|---|---|
The tremendous volume of user behavior records generated in various domains provides data analysts new opportunities to mine valuable insights into user behavior. Cohort analysis, which aims to find user behavioral trends hidden in time series, is one of the most commonly used techniques. Since traditional database systems suffer from both operability and efficiency when processing cohort analysis queries, we proposed COHANA, a query processing system specialized for cohort analysis. In order to make COHANA easy-to-use, we present a comprehensive and powerful tool in this demo, covering the major use cases in cohort analysis with intuitive and accessible operations. Analysts can easily adapt COHANA to their own use with provided visualizations which can help verify their analysis assumptions and inconspicuous trends hidden in user behavior data.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3183713.3193540 | SIGMOD/PODS '18: International Conference on Management of Data
Houston
TX
USA
June, 2018 |
Keywords | Field | DocType |
Cohort Analysis,Cohana,Query Processing | Data science,Data mining,Use case,Computer science,Operability,Cohort study | Conference |
ISSN | ISBN | Citations |
0730-8078 | 978-1-4503-4703-7 | 1 |
PageRank | References | Authors |
0.35 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| zhongle xie | 1 | 47 | 6.25 |
| Qingchao Cai | 2 | 65 | 8.52 |
| Fei He | 3 | 32 | 13.85 |
| Gene Yan Ooi | 4 | 1 | 0.35 |
| Weilong Huang | 5 | 1 | 0.35 |
| Beng Chin Ooi | 6 | 7873 | 1076.70 |