Decision Support Systems

IT445

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 Marks

Learning Outcome(s):

Week5

The students will be able to:

recognize the wide range of applications of data mining..

Question One

Select two application areas for data mining NOT discussed in the text book and briefly discuss how data mining is being used to solve a problem (or to explore an opportunity)?.

Answer:

1 Marks

Learning Outcome(s):

Week5

The students will be able to:

Learn different methods and algorithms of data mining.

Question Two

What is Association Rule Mining? And explain how Market-basket analysis helps retail business to maximize the profit from business transactions?

Answer:

1 Marks

Learning Outcome(s):

Week6

The students will be able to:

Define the concept and formulation of k- nearest neighbor algorithm

Question Three

Discuss k-nearest Neighbor (KNN) learning algorithm. What is the significance of the value of k in k-NN.

Answer:

1 Marks

Learning Outcome(s):

Week6

The students will be able to:

Describe how learning happens in ANN.

Question Four

Discuss the two estimation methods of classification-type data mining models while considering ANN as a classifier.

Answer: