Let Q={91.95} be a set of queries, A = {A,...,A5} be a set of attributes, and...

 

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Let Q={91.95} be a set of queries, A = {A₁,...,A5} be a set of attributes, and S = {S₁, S2, S3} be a set of sites. The matrix of Figure describes the attribute usage values and the matrix of Figure gives the applica- tion access frequencies. Assume that refi(qk) = 1 for all qk and S; and that A₁ is the key attribute. Use the bond energy and vertical partitioning algorithms to obtain a vertical fragmentation of the set of attributes in A. PERD Q5 A1 10000 0 Q1 Q2 Q3 Q4 Q5 A2 11000 A3 1110 2 5 1 Attribute Usage Matrix A4 A5 15 10005 S1 S2 S3 5 0 15 10 0 1 GOWDO 10 3 10 20 5 Application Access Frequencies 0 5 FFFF0 1 1 1 0 Let Q={91.95} be a set of queries, A = {A₁,...,A5} be a set of attributes, and S = {S₁, S2, S3} be a set of sites. The matrix of Figure describes the attribute usage values and the matrix of Figure gives the applica- tion access frequencies. Assume that refi(qk) = 1 for all qk and S; and that A₁ is the key attribute. Use the bond energy and vertical partitioning algorithms to obtain a vertical fragmentation of the set of attributes in A. PERD Q5 A1 10000 0 Q1 Q2 Q3 Q4 Q5 A2 11000 A3 1110 2 5 1 Attribute Usage Matrix A4 A5 15 10005 S1 S2 S3 5 0 15 10 0 1 GOWDO 10 3 10 20 5 Application Access Frequencies 0 5 FFFF0 1 1 1 0

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Here are the steps to apply the bond energy and vertical partitioning algorithms 1 ... View the full answer