Identify data mining techniques you would apply to this challenge, and provide your rationale. Are there any specific data mining techniques you would not use?

Discussion question 1 – data mining clinical application

This challenge would require me to use a range of data mining methods, including classification, clustering and association rules. To identify patterns in the dataset, clustering can be used. This allows similar observations to be placed together and analyzed further. By analyzing the characteristics of each observation, classification allows you to distinguish different kinds of observations. You can use this information to predict future outcomes. Associative rules are used to identify the relationships among variables which allow for better forecasting.

Time series and regression analyses are the two types of techniques I won’t use. This is because they don’t suit this problem as there isn’t any historical data. These methods are based on linear relationships, which may not be accurate for complex data sets.

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