GitHub - 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.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
IEEE_Conference_Sequential.pdf		IEEE_Conference_Sequential.pdf
MainTestSPAM_saveToFile.java		MainTestSPAM_saveToFile.java
MainTestUSpan.java		MainTestUSpan.java
contextPrefixSpan.txt		contextPrefixSpan.txt

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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.

java patterns prediction dataset datamining healthcare-application sequence-mining