446 stand 1

See attached

College of Computing and Informatics
Data Mining and Data Warehouse
Course code
Assignment 2
Deadline: Tuesday 28/11/2023 @ 23:59
Name: ###
ID: ###
[Total Mark for this Assignment
is 8]
CRN: ###
Instructions:
You must submit two separate copies (one Word file and one PDF file) using
the Assignment Template on Blackboard via the allocated folder. These files
must not be in compressed format.
It is your responsibility to check and make sure that you have uploaded both the
correct files.
Zero mark will be given if you try to bypass the SafeAssign (e.g. misspell words,
remove spaces between words, hide characters, use different character sets,
convert text into image or languages other than English or any kind of
manipulation).
Email submission will not be accepted.
You are advised to make your work clear and well-presented. This includes
filling your information on the cover page.
Pg. 1
Learning
Outcome(s):
LO2
Demonstrate a
wide range of
clustering,
estimation,
prediction, and
classification
algorithms to
solve a specific
program or
application.
‫ خطأ! استخدم عالمة التبويب “الصفحة الرئيسية” لتطبيق‬Heading 1
‫على النص الذي ترغب في أن يظهر هنا‬.
Question One
Define the concepts of outlier analysis? Illustrate the three fundamental Approaches to
Detect Outliers with suitable applications.
Answer:
2 Marks
Pg. 2
Learning
Outcome(s):
LO1
Define different
data mining
tasks, problems
and the
algorithms most
appropriate for
addressing them
‫ خطأ! استخدم عالمة التبويب “الصفحة الرئيسية” لتطبيق‬Heading 1
‫على النص الذي ترغب في أن يظهر هنا‬.
Question Two
What are the strengths of using neural network as a classifier?
Answer:
1 Mark
Pg. 3
Learning
Outcome(s):
LO2
‫ خطأ! استخدم عالمة التبويب “الصفحة الرئيسية” لتطبيق‬Heading 1
‫على النص الذي ترغب في أن يظهر هنا‬.
Question Three
Clustering is recognized as an important data mining task with broad applications. Give
one application example for each of the following cases:
Demonstrate a
(a) An application that uses clustering as a major data mining function.
wide range of
(b) An application that uses clustering as a preprocessing tool for data preparation
clustering,
for other data mining tasks
estimation,
prediction, and
classification
algorithms to
solve a specific
program or
application.
Answer (sample)
2.5 Marks
Pg. 4
Learning
Outcome(s):
LO1
Define different
‫ خطأ! استخدم عالمة التبويب “الصفحة الرئيسية” لتطبيق‬Heading 1
‫على النص الذي ترغب في أن يظهر هنا‬.
Question Four
Describe the k-mean and DBSCAN clustering algorithms in terms of the following
criteria:
(a) shapes of clusters that can be determined.
data mining
(b) input parameters that must be specified; and
tasks, problems
(c) limitations.
2.5 Marks
and the
algorithms most
Answer:
appropriate for
addressing them
Cluster
algorithm
K-mean
DBSCAN
Shape of cluster
Input
parameter
Limitation