No, this is absolutely incorrect. The result of a data mining operation is a statistical model: code, essentially, not data. The whole point of performing data mining is to be able to make inferences about future behavior.
As an example, below is a (denatured) model I recently produced for a bank. The goal was to predict whether individual customers will repay loans. In this case, it is a logistic regression run over a single table of data. The resulting code is intended to generate predictions (probability estimates) about future cases, not summarizing old ones:
XModelLinear =
-0.12405053679991 +
-0.00232402562179 * PRIOR_AVAILABLE +
-0.4963737314753 * DOB +
-0.82299458796435 * cnt_4247 +
-0.48519697312454 * cnt_5341 +
0.5056754163603 * cnt_7831 +
2.32062670810524 * cnt_4939 +
1.9624082049473 * cnt_7961 +
0.67703628829194 * cnt_5643 +
0.00213194069755 * amt_5754 +
-0.0006523147294 * Att_amt_off +
0.11162160204319 * UtilCount +
0.0126422117559 * VeCount +
0.06749157992633 * CasCount +
5.71685305090582 * SCF416;
! Apply transfer function
XModel = 1 / (1 + exp(-XModelLinear));
-Will Dwinnell