Q:

What do the terms "data farming" and "data cultivation" mean? Where can I gather more information on these?

A:

Chuck Kelley’s Answer: Data farming refers to the processes and methods used to determine the most appropriate data collection for subsequent data analysis. The goal is to determine what is the correct data set to pass to data mining if there is an absence or partially available data set. Using data farming techniques, you can enhance the data that you have on hand and determine what the most relevant data to be collected.

Data cultivation refers to a technique of capturing data about what is important in a particular event and planting that data so that your data mining models can be rerun and better results can be accomplished.

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