IT 445 Decision support systems

Deadline: Day 04/11/2017 @ 23:59

[Total Mark for this Assignment is 5]

Decision support systems

IT 445

College of Computing and Informatics

Question One

1 Mark

Learning Outcome(s):

Understand the difference between clustering and classification

Explain the difference between clustering and classification.

Question Two

1 Marks

Learning Outcome(s):

Understand the steps of the most well-known clustering algorithm

Describe the k-means algorithm.

Question Three

1 Mark

Learning Outcome(s):

Understand how Data Mining can help in a practical problem

Suppose that you are employed as a data-mining consultant for an Internet search engine company. Describe how data mining can help the company by giving specific examples of how techniques, such as clustering, classification, association rule mining, and anomaly detection can be applied.

Question Four

1 Mark

Learning Outcome(s):

Understand why ANN is described as “black box”

Explain the reason behind describing artificial neural networks (ANN) as "black box”. Then propose one technique to overcome this criticism.

Question Five

1 Mark

Learning Outcome(s):

Understand the difference between ANN and SVM.

Discuss one advantage and one disadvantage of Support Vector Machines (SVM) compared to artificial neural networks (ANN).