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  1. Machine Learning

Data Mining

PreviousProbabilistic, RegressionNextProcess Mining

Last updated 1 year ago

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ASSOCIATION RULES

  1. - apriori, eclat, fp growth - pretty complete

  2. - lift, confidence

Knoldus

APRIORI

  3. - apriori in weka

    1. Apriori

    2. Rules

    3. pgrowth

    4. fpmax

FP Growth

  2. The same example, but with a graph that shows that lower support cost less for fp-growth in terms of calc time.

  4. Another clip video

  • high support: should apply to a large amount of cases

  • high confidence: should be correct often

  • high lift: indicates it is not just a coincidence

- probably the best way is confidence/support/lift

It depends on your task. But usually you want all

Association rules slides
Terms
Paper - basic concepts and algo
Apriori
Association rules
Fp-growth
Fp-tree construction
Apyori tut
git
Efficient apriori
One of the best known association rules algorithm
A very good visual example of a transaction DB with the apriori algorithm step by step
Python 3.0 code
Mlxtnd
tutorial
How to construct the fp-tree
Coursera video
How to validate these algorithms
three to be high.
Difference between apriori and fp-growth