The Data Mining Process

• Develop a good understanding of the application domain to find relevant knowledge and goals.
• Create a target dataset,select the appropriate subset of data to be actually used.
• Data must be cleansed and preprocessed.This involves removing noise from the data.
• Data reduction and projection is done which derives the useful features reduces the dimensionality
• Choosing a data mining task means identifying the goal of the exercise possibly classification,prediction ,trend analysis,model fitting etc etc.