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Although there are a number of data mining techniques there are three that are most commonly used. These common techniques include decision trees, artificial neutral networks and the nearest-neighbour method. These techniques each analyze data in different ways.
The two basic divisions of data are qualitative or categorical data and quantitative or numeric data. Just because you have a number, doesn't necessarily make it quantitative. For example, zip codes, phone numbers and bank-accounts are numeric, but it doesn't make much sense to find the average phone number or median zip-code. These are examples of numbers applied to categorical data.
In social sciences the methods available for collecting data can be classified into two categories: qualitative and quantitative. - Qualitative research - generally used for exploratory purposes - examples include focus groups, in-depth interviews, and projective techniques - Quantitative research - generally used to draw conclusions - examples include surveys and questionnaires You can also use experiments and observation but the real answer is. 1. Use surveys, observation, and focus groups