Hello, I want help with my homework, please check attached
Important: I need you to answer on the (same) doc file I attached please, don’t do it on a different file/doc, I need the answer to be on the same one I attached please.
link for the book and slides
https://drive.google.com/drive/folders/1POFZt1I4DM…
College of Computing and Informatics
Assignment 2
Deadline: Tuesday 28/11/2023 @ 23:59
[Total Mark for this Assignment is 8]
Student Details:
Name: ###
ID: ###
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.
• You must use this template, failing which will result in zero mark.
• You MUST show all your work, and text must not be converted into an image, unless specified otherwise by
the question.
• Late submission will result in ZERO mark.
• The work should be your own, copying from students or other resources will result in ZERO mark.
• Use Times New Roman font for all your answers.
Question One
Pg. 01
Learning
Outcome(s): LO2
Demonstrate a
wide range of
clustering,
estimation,
prediction, and
classification
algorithms to
solve a specific
program or
application.
Question One
2 Marks
Define the concepts of outlier analysis? Illustrate the three fundamental Approaches to
Detect Outliers with suitable applications.
Answer:
Question Two
Pg. 02
Learning
Outcome(s): LO1
Question Two
What are the strengths of using neural network as a classifier?
Define different
data mining tasks,
problems and the
algorithms most
appropriate for
addressing them
Answer:
1 Mark
Question Three
Pg. 03
Learning
Outcome(s): LO2
Demonstrate a
Question Three
2.5 Marks
Clustering is recognized as an important data mining task with broad applications.
Give one application example for each of the following cases:
wide range of
(a) An application that uses clustering as a major data mining function.
clustering,
(b) An application that uses clustering as a preprocessing tool for data preparation
estimation,
for other data mining tasks
prediction, and
classification
algorithms to
solve a specific
program or
application.
Answer (sample)
Question Four
Pg. 04
Learning
Outcome(s): LO1
Define different
data mining tasks,
Question Four
2.5 Marks
Describe the k-mean and DBSCAN clustering algorithms in terms of the following
criteria:
(a) shapes of clusters that can be determined.
problems and the
(b) input parameters that must be specified; and
algorithms most
(c) limitations.
appropriate for
addressing them
Answer:
Cluster algorithm
K-mean
DBSCAN
Shape of cluster
Input parameter
Limitation