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DWM710S - DATA AND WEB MINING - 1 ST OPP - JUNE 2022 |
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nAmlBIA UnlVERSITY
OF SCIEnCE Ano TECHnOLOGY
FACULTY OF COMPUTING AND INFORMATICS
DEPARTMENTOF COMPUTERSCIENCE
QUALIFICATION: BACHELOROF COMPUTERSCIENCE
QUALIFICATION CODE: 07BACS
LEVEL: 7
COURSE: DATA AND WEB MINING
COURSE CODE: DWM710S
DATE: JUNE 2022
SESSION: 1
DURATION: 3 HOURS
MARKS: 100
EXAMINER:
MODERATOR:
FIRST OPPORTUNITY EXAMINATION QUESTION PAPER
MR GEREONKOCHKAPUIRE
MRS JOYANURIOHA
THIS QUESTION PAPER CONSISTS OF 4 PAGES
(Excluding this front page)
INSTRUCTIONS
1. Answer all questions.
2.
When writing take the following into account: The style should inform than impress, it
should be formal, in third person, paragraphs set out according to ideas or issues and
the paragraphs flow in a logical order. The information provided should be brief and
accurate.
3.
Please, ensure that your writing is legible, neat and presentable.
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Question 1
[4 Marks]
During a workshop, a Senior Data Analyst says, "Every enterprise benefits from collecting and
analysing its data". Would you agree with that or not and why? Explain the why using a
practical example.
Question 2
[7 Marks]
What are the essential steps in the process of knowledge discovery in various areas where data
mining is drawn?
Question 3
[8 Marks]
There are several data mining functionalities. Explain the difference between data
characterization and data discrimination. Give a practical example for each.
Question 4
[4 Marks]
Explain the term classification and how we would predict a class label of objects for which class
labels are unknown.
Question 5
[6 Marks]
Are all patterns of interest to potential users? What makes a pattern interesting?
Question 6
[4 Marks]
By illustration with a practical example, please explain Outlier analysis and Cluster analysis.
Question 7
[4 Marks]
Explain the difference between Binary Attributes and Nominal Attributes. Give an example for
each.
Question 8
[2 Marks]
As a Junior Data Miner for a Marketing Company, you are tasked to visualize data. You have
decided to use a Quantile-Quantile plot. How would you explain your decision as to why you
would use that?
Question 9
[4 Marks]
Describe various methods for Noisy Data.
Question 10
[6 Marks]
Select a report or visualization that provides some analyses of social web data and explain
the steps to accomplish the activity. First, have a look at the 5 great examples of data
visualization to get inspired.
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Several reports or visualization analyses that you could use are: "Where in the World Are th
e Hottest Social Networking Countries?", "Visualizing Sochi2014", "Twitter Topography", "O
bama vs. McCain in New Media use", "Analyzing Wikipedia Authors", etc.
Question 11
[6 Marks]
What are the various strategies used for data transformation?
Question 12
[2 Marks]
By illustration with a practical example, please explain the concept of Market basket analysis.
Question 13
[8 Marks]
What are the major challenges of mining a huge amount of data {such as billions of tuples} in
comparison with mining a small amount of data {such as a few hundred tuple data set}?
Question 14
[2 Marks]
What are the pros and cons of the top-down and bottom-up approaches to data warehouse
development?
Question 15
[5 Mark]
A large amount of additional meaningless data is called noise. By looking at the diagram below,
can you please illustrate the concept of noise? Name any three. In addition, can you please
provide a practical example demonstrating noise?
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Question 16
[4 Marks]
You are preparing for a Data Mining exam at the University of Science and Technology. While
you are preparing, you come across the below diagram. Please explain how you would answer
what the diagram illustrates during the exam.
Data reduction
attributes
attributes
Al A2 A3
AI26
Al A3
Al 15.
Tl
o T2
u T3
T4 ....__,.___,,...__,..__,..._..---t
;?::;3
T2000
~1I~456= =I==1=======1===11
Question 17
[12 Marks]
During a press conference, a junior Data Miner asks you to explain to him the life cycle of the
data mining project. You are employed as a senior Data Miner atthe Ministry of Education. Can
you please discuss the life cycle of data mining projects?
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Question 18
[12 Marks]
You are employed at Tech Mining Consultants as a Mining Engineer. Part of your duties is to
teach Data Mining Interns data mining concepts. During a meeting, one intern wants you to list
the most important data mining techniques. What are the different techniques used for data
mining? Please list and explain them.
<<<<<<End of Exam >>>>>
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