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Association rule example (Studio)

tenaj
2015-07-30 03:46:30
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Description

Application background

There are many ways to see the similarities between items. These are techniques that fall under the general umbrella of association. The outcome of this type of technique, in simple terms, is a set of rules that can be understood as “if this, then that”

Imagine 10000 receipts sitting on your table. Each receipt represents a transaction with items that were purchased. The receipt is a representation of stuff that went into a customer’s basket – and therefore ‘Market Basket Analysis’.

That is exactly what the Groceries Data Set contains: a collection of receipts with each line representing 1 receipt and the items purchased. Each line is called a transaction and each column in a row represents an item

Key Technology

  • Support: The fraction of which our item set occurs in our dataset.
  • Confidence: probability that a rule is correct for a new transaction with items on the left.
  • Lift: The ratio by which by the confidence of a rule exceeds the expected confidence. 
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File list

Tips: You can preview the content of files by clicking file names^_^
Name Size Date
titanic.txt3.25 kB2015-07-13 15:52
...
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Association rule example (Studio) (1.60 kB)

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