Data Mining 101
If you are a beginner in data mining
and want to become at least familiar with the main concepts and
terminologies, maybe the first step would be to acquire a clear
bird-eye view about the whole domain - definition, inception,
classification, influences, trends - but without diving into too deep
and scholastic details. And, of course, you do that by searching on
Internet and skimming whatever books you have at hand. You might say
that one day would be more than enough to get an overall understanding
about this domain. But you don't have a clue about the trouble you're
getting into. These are some of the questions that I'm sure you'll
start asking yourself: How is data mining related to predictive
analysis? How is it related to knowledge
discovery? What about data
mining vs machine learning and
artificial
intelligence? What is the
difference between predictive/descriptive and supervized/unsupervized?
Can we compare these 2 classifications first of all? And this is just
the beginning...Read on...
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Data Mining Techniques
A classification of the data mining techniques can never be complete. But I am going to try to build a backbone here and then add to it as I go.
Read more about this classification.
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Data Mining
Articles
Information about data
mining, predictive
analytics, artificial intelligence, neural netwrorks, statistics, etc.
Please feel free to submit your articles and become a contributor
of dataminingarticles.com. See all articles...
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