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Data Mining

Data Mining is the methods to mine useful information from avalanche of data.

I think method called "data mining" has characteristics below.

Data mining is not only one of multivariable analysis but particular method because "multivariable" is not appropriate to some method.
Upper characteristics 3 is not common in multivariable analysis.

Types of data mining

How to see part of the data

How to look over the data

How to quantitatively analyze verbal data

In the literature, neural networks and Bayesian networks are sometimes introduced as data mining companions. The method that came out after the so-called " multivariate analysis " is collectively called "data mining", so it seems that it is classified in this way.

However, I don't think the point of "mining" the important part from the pile of data is true. This site classifies it as artificial intelligence (AI) .

Difference between Decision Tree and Cluster Analysis

The outputs of Decision Tree and Cluster Analysis are similar. Both of them use the tree-type graph.

The difference between decision Tree and Cluster Analysis is very similar to the difference between Multi-Regression Analysis and Principal Component Analysis . The former use the information of "Y" data in its analysis. But the latter does not use "Y" data. The former analyze the relationship between Y and Xs. The latter analyze the relationship among Xs.



Selection of Methods

Statistical Way of Making Hypothesis



NEXT Decision Tree

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