Questions to find answers for:
What is data mining?
How do you effectivly mine data?
What is good data and bad data?
Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information[1]
From what I understand Data mining is analyzing large data sets for data that you want to extract. I see it in a mining term, you mine a rock and sift through the dirt to get to the mineral you want. It's the same just with virtual rocks and virtual minerals.
The most effective way to mine data is to recognise what data you want, then you need to figure out how to collect this data. Once you have done this you have created an alogrithm which will mine the data you want.
By following that method you already have your good data, and all the other isn't 'bad' just isn't what you needed. I see bad data as something which corrupts or breaks people's code.
In short Data mining is the analysis of large data sets to extract the data you are looking for.
References:
[1] - N/A. (N/A). Data Mining: What is Data Mining?. Available: http://www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/datamining.htm. Last accessed 9th November 2014.
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