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simple association rule mining from xlsx files - including an incorrect (!) implementation of apriori

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xls2csv from https://github.com/dilshod/xlsx2csv/

if you fork/use, please credit: matthew berland

license is gpg v3

this is not supported, don't email me please!

it is totally hacked up & broken - feel free to submit a pull req to fix it!

it is public because someone might find it useful, but that is it!

python 2 only because i am lazy.

how to use: brew install drake (on a mac) put XLSX files (as many as you like!) into data/ they should have one column per tag per line and the first column should be "Name" all cells should either be 0 or 1

so like this:

| Name | TAG1 | TAG2 | ... | TAGN |
| Bill | 1    | 0    | ... | 1    |
| Alice| 0    | 0    | ... | 1    |

then just run "drake" in the top level directory

see what pops out in out.txt

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simple association rule mining from xlsx files - including an incorrect (!) implementation of apriori

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