The original association rule mining formulation uses the support and confidence measures to prune uninteresting rules. (a)
Question:
(a) Draw a contingency table for each of the following rules using the transactions shown in Table 6.4.
Rules: {b} {c}, {a} {d}, {b} {d}, {e} {c}, {c} {a}.
(b) Use the contingency tables in part (a) to compute and rank the rules in decreasing order according to the following measures.
i. Support.
ii. Confidence.
iii.
iv.
v. Klosgen(X Y ) = P(X, Y ) Ã (P(Y|X) P(Y)), where P(Y|X) = P(X,Y)/P(X).
vi.
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Related Book For
Introduction to Data Mining
ISBN: 978-0321321367
1st edition
Authors: Pang Ning Tan, Michael Steinbach, Vipin Kumar
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