Project in Data Mining: Using association rule mining to identify combinations of factors contributing to high/low suicide rates. The data are obtained from WHO. The generation from numerical attributes to binomial was done in RapidMiner.
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A data mining study was conducted to determine the correlations between factors associated with high and low suicide rates in countries worldwide. Pandas and mlxtend were used in Python, as well as the data mining program Rapidminer.
gabrielevensen/Data-mining--Correlating-Attributes-Suicide-Rates
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A data mining study was conducted to determine the correlations between factors associated with high and low suicide rates in countries worldwide. Pandas and mlxtend were used in Python, as well as the data mining program Rapidminer.
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