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https://github.com/padmavathi2905/us-health-data-sequntial-patternmining-application
Pattern mining finds useful patterns for decision-making and prediction, especially in sequence mining. It is widely applied in retail, healthcare, and security, including medical data analysis. Analyzing US health data (2013–2017) helps identify mortality-related patterns. The PrefixSpan algorithm extracts sequential patterns from this dataset.
https://github.com/padmavathi2905/us-health-data-sequntial-patternmining-application
datamining dataset healthcare-application java patterns prediction sequence-mining
Last synced: 3 days ago
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Pattern mining finds useful patterns for decision-making and prediction, especially in sequence mining. It is widely applied in retail, healthcare, and security, including medical data analysis. Analyzing US health data (2013–2017) helps identify mortality-related patterns. The PrefixSpan algorithm extracts sequential patterns from this dataset.
- Host: GitHub
- URL: https://github.com/padmavathi2905/us-health-data-sequntial-patternmining-application
- Owner: padmavathi2905
- Created: 2025-01-30T21:32:49.000Z (15 days ago)
- Default Branch: main
- Last Pushed: 2025-01-30T21:37:55.000Z (15 days ago)
- Last Synced: 2025-01-30T22:31:35.598Z (15 days ago)
- Topics: datamining, dataset, healthcare-application, java, patterns, prediction, sequence-mining
- Language: Java
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: