Association Rules Flashcards

1
Q

What type of learning are association rules?

A

Unsupervised

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2
Q

What is the task [T] within arules?

A

T: the co-occurence of patterns

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3
Q

What is the experience [E] within arules?

A

Presence of items in a sparse binary matrix

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4
Q

What is the performance measure [P] within arules?

A

There is no P, it is an unsupervised technique

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5
Q

Define Lift

A

An estimate of the association between two itemsets.

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6
Q

Define Support

A

Probability that a randomly chosen transaction contains two (or more) specific itemsets.

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7
Q

Define Confidence

A

The probability that one itemset has been chosen, given that another itemset has been chosen.

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8
Q

What is the notation for lift?

A

Lift(A=>B) = Pr(A,B)/Pr(A)Pr(B) = Pr(B|A)/Pr(B)

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9
Q

What is the notation for confidence?

A
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10
Q

How can you estimate the probability of observing an itemset from the data?

A

Simply, divide the count of the itemset, from the total number of transactions.

Pr(A) = n(a)/N

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11
Q

What is the notation for support?

A

S(A=>B) = Pr(A,B) = n(A,B)/N

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12
Q

Define frechet upper bounds.

A
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13
Q

Lift measures the extent…

A

To which A and B are not independant.

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14
Q

Lift has a minimum bound of … meaning …

A
  1. A lift of zero implies independance.
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15
Q

What is the definition of standardized lift?

A
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