Expert answer:all questions in attached file

Solved by verified expert:questions about Business Intelligence and Analytics Systems for Decision Support. This course is given to students of Computer Science and Information Technology. The university use Plagiarism tool. I wish the answers were correct because, according to my experience here, I suffered from some of the wrong answers and lacked grades in the evaluation of Dr.i will put the resources of answers and i hop to be from it
it445_assignment_2.docx

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College of Computing and Informatics
Assignment 2
Deadline: Day 04/11/2017 @ 23:59
[Total Mark for this Assignment is 5]
Student Details:
Name: ###
ID: ###
CRN: ###
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.
•
The work should be your own, copying from students or other resources will result in
ZERO marks.
•
Use Times New Roman font for all your answers.
Question One
Pg. 1
Learning
Outcome(s):
Understand the
difference
between
clustering and
classification
Question One
Explain the difference between clustering and classification.
1 Mark
Question Two
Pg. 2
Learning
Outcome(s):
Understand the
steps of the most
well-known
clustering
algorithm
1 Marks
Question Two
Describe the k-means algorithm.
Question Three
Pg. 3
Learning
Outcome(s):
Understand how
Data Mining can
help in a practical
problem
1 Mark
Question Three
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
Pg. 4
1 Mark
Learning
Outcome(s):
Question Four
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
Pg. 5
1 Mark
Learning
Outcome(s):
Question Five
Understand the
difference
between ANN and
SVM.
Discuss one advantage and one disadvantage of Support Vector Machines
(SVM) compared to artificial neural networks (ANN).
…
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