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Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
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title:apples body:"apples oranges" |
URL | url:"*.example.com" |
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closed:yes duplicate:no migrated:no wiki:no |
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1
vote
Excluding false values with association rule mining in Weka
I'm not sure if there is a more formal way of doing this, but replacing the '0' values with ? works for me.
Using the following .arff file works for me:
@relation transactions
@attribute A {'1','0'} …
2
votes
2
answers
1k
views
Excluding false values with association rule mining in Weka
I am using Weka 3.6 to do Association Rule mining. In our data set, each transaction is a word, and each letter in the word is an item. The rules that we are mining would be in the format of {a set …