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Answers
I am trying to find the affinity or rules association on the first column ( binary is column Bprice, and second table is Price)
In xlminer, and I though rapid miner will be a better tool to learn in the long run.
I wanted to associate all the columns to Bprice or price, and the next row price, but this is my first effort and I cant seem to see the wood for the trees, if i classify Bprice as 1 for positive value, I can seem to get a list of affinity's off
please help me get started this looks like a wonderful tool
Neil
0 0 1 0 0 0 0 0
0 0 1 0 1 1 0 0
1 0 1 0 1 1 0 0
0 0 1 0 1 1 0 0
0 0 1 0 1 1 0 0
1 0 1 0 1 1 0 0
1 0 0 0 1 0 0 0
0 0 0 0 0 1 0 0
1 1 0 0 1 1 0 0
1 1 1 0 1 0 0 0
1 1 1 0 0 0 0 0
1 1 1 0 0 0 0 0
1 1 1 0 0 0 0 0
1 1 1 0 0 0 0 0
1 1 1 0 0 0 0 0
0 1 1 0 0 0 0 0
1 1 1 0 1 0 0 0
1 1 1 0 1 0 0 0
0 1 1 0 1 0 0 0
1 1 1 0 1 0 0 0
0 1 1 0 1 0 0 0
1 1 1 0 1 0 0 0
1 1 1 0 1 0 0 0
1191.57 0.103057905 0.014224222 0.026861335 0.048047821 0.06495962
1190.69 0.099743014 0.01424037 0.027959867 0.047314417 0.06385144
1201.57 0.095503925 0.014256469 0.029058215 0.04627287 0.06228107
1199.85 0.090210446 0.014283388 0.034298961 0.046264265 0.062254703
1191.33 0.076188417 0.015155359 0.041635287 0.044326354 0.058911852
1194.44 0.068604056 0.016351031 0.041883611 0.042279566 0.055243833
1204.99 0.060563664 0.01717731 0.039780201 0.039173725 0.050171933
1194.94 0.046407073 0.016828555 0.042671771 0.035302467 0.044539422
1197.87 0.032809666 0.017116969 0.044960187 0.03162894 0.038884926
1211.86 0.025124698 0.017669367 0.042006052 0.028266706 0.033565375
1219.44 0.022999374 0.015724614 0.041995408 0.026906465 0.032497391
1222.21 0.022720223 0.013321 0.041723346 0.025921523 0.032221784
1223.29 0.02171297 0.012141832 0.041184685 0.025013162 0.031448828
1226.5 0.018017976 0.011268978 0.040595951 0.023294302 0.029306964
1227.92 0.017257611 0.009371975 0.039466811 0.022032132 0.028362211
1221.13 0.01123863 0.009339791 0.038698117 0.019758846 0.024968373
1229.35 0.009277066 0.009777199 0.034275681 0.017776649 0.021776373
1235.2 0.006410766 0.011031498 0.030842871 0.016095045 0.018626819
1227.04 0.005646481 0.012246773 0.029226221 0.015706492 0.017436351
1233.68 0.00526766 0.013452408 0.025739085 0.014819718 0.015503373
1229.03 0.005172732 0.014098088 0.023490141 0.014253653 0.014331436
1231.16 0.005036435 0.014381221 0.02289989 0.014105849 0.013968162
1236.79 0.004855289 0.014625621 0.022469699 0.013983536 0.013662494
I'm sorry, but your description confuses me. You seem to have two data sets, please explain in detail, what you are planning to do with each of them.
Greetings,
 Sebastian