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Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules

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In the paper from Agrawal, the generation of candidates is different (formulated in sql query). It is said that from itemsets (1,2,3), (1,2,4), (1,3,4), (1,3,5), (2,3,4), you have only (1,2,3,4)...

This is what we should implement in code with pruning. 1. Let k=1 2. Generate frequent itemsets of length k 3. Repeat until no new frequent itemsets are identified -...

Added the functionality to calculate the lift of the rules we find according to this article: https://en.wikipedia.org/wiki/Association_rule_learning#Lift

Removed the two lines from runApriori() function: assocRules = dict() # Dictionary which stores Association Rules assocRules was never used

I have implemented this `lift` feature with more datasets. See my repo here: https://github.com/zoeleesss/Apriori

Inside the function `dataFromFile(fname)` ,the file is opened. But the file close function is not called, which is not safe. Suggest that call the `with open...as...` instead of `open` function.

Hi, I want to add lift (lift(X ⇒ Y ) =conf (X ⇒ Y )/supp(Y )) after each rules. In your code, may like lift = getSupport(item)/(getSupport(element)*getSupport(remain)). But an error...

Enhancement

hi, I run your code but I have received this message File "apriori.py", line 118 for item, support in sorted(items, key=lambda (item, support): support): ^ SyntaxError: invalid syntax Where is...

Bug

In the line here: https://github.com/asaini/Apriori/blob/master/apriori.py#L52 There is no need to `frozenset()` the records, as the records in the `data_iterator` are already frozensets.

Bug