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    WalMart
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Category > Computer Science Posted 06 Jan 2018 My Price 10.00

IT446- Data Mining and Data Warehousing

Deadline: Saturday 01/04/2017

Data mining and data warehousing 

 

    

    

    

 

IT446- Data Mining and Data Warehousing


 

 

Instructions:

·       This Assignment must be submitted on Blackboard via the allocated folder.

·       Email submission will not be accepted.

·       You are advised to make your work clear and well-presented, marks may be reduced for poor presentation.

·       You MUST show all your work.

·       Late submission will result in ZERO marks being awarded.

·       Identical copy from students or other resources will result in ZERO marks for all involved students.

·       Convert this Assignment to PDF just before submission.

    

 

 

 

Name:###

 

CRN:###

 

ID:###

 

 

 

 

 


1 Mark

Learning Outcome(s):

Demonstrates understanding of data cube computation techniques

 

 

 

 

 

 

 

Question One

Describe the four general optimization techniques for efficient computation of data cubes.

 

 

 

1 Mark

Learning Outcome(s):

Demonstrates understanding and identification of frequent itemsetsand calculating their support value

 

 

 

 

 

 

Question Two

Consider transaction table below to answer the following question.

TID

Items

T100

A, C, D, E

T101

A, C, E

T102

B, D, E, F

T103

A, D, E, F

T104

B, C, F

T105

A, B, C, D, E

If we set minimum support count equal to 50%, list all frequent itemsetsalongwith theirsupportcount percentage.

 

 

 

1 Mark

Learning Outcome(s):

Demonstrates understanding of …………..

 

 

 

 

 

 

Question Three

What is Association Rule? Discuss with example?

 

Answer:



 

 

                 

1 Mark

Learning Outcome(s):

Demonstrates understanding of ………………..

 

 

 

 

 

 

Question Four

What is Apriorialgorithm,discuss its advantages and disadvantages?

Answer: 

 

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Answers

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Status NEW Posted 06 Jan 2018 12:01 PM My Price 10.00

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