Table of Contents
1.
Assessment tasks……………………………………………………………………………………………………………………….. 2
2.
Topics……………………………………………………………………………………………………………………………………….. 2
3.
Layout for Research Report…………………………………………………………………………………………………………. 3
4.
General guidelines……………………………………………………………………………………………………………………… 3
5.
What to submit………………………………………………………………………………………………………………………….. 3
6.
When to submit…………………………………………………………………………………………………………………………. 4
7.
How to submit…………………………………………………………………………………………………………………………… 4
8.
Big Data Research Report Rubric ……………………………………………………………………………………………….. 51. Assessment tasks
The objective of this assignment is to conduct preliminary research on big data using the techniques
delivered in this paper. To achieve this objective, you need to follow the steps below:
1. This is an individual assignment.
2. Select a big data-related topic based on the use cases of big data stated in Section 2: Topics,
OR you can come up with your own.
3. Read and analyse peer-reviewed papers (minimum of 8 including reference) on your
specific topic.
4. From your research, identify at least two themes and discuss these themes by comparing them
from the various papers in your research. Some examples of themes are listed below:
• Approaches/algorithms to solve the problem.
• Scientific results from experimentation
• Perspectives on an issue
• Advantages/disadvantages
• Effects of an issue
• Challenges/opportunities
5. Express your opinions, e.g., new ideas, proposed approaches/models, how to extend the
existing work, etc. Your opinions about big-data related issues should be presented.
6. Select/download an online dataset and conduct preliminary analysis using the existing tools
or writing a program. Please try to use the techniques delivered in this paper. You can use
any programming language if you want to write programs to conduct data analysis.
7. Write pseudo-code/explain the idea of how to apply MapReduce to the specific problem.
8. Write the report using LaTex / Word. Minimum 6 pages (including references) in 2
columns IEEE proceedings format
2. Topics
You can pick one of the following topics or come up with your own. The details of the following
topic will be explained in the slides of Lecture 7 Introduction to Big Data.
• Post-disaster Analytics
• News Analytics
• Product Recommendation
• Social Influence Diffusion Analysis
• Customer Churn Analysis
• Customer Segmentation
• Sentiment Analysis
• Anomaly Detection in Online Social Networks
• Market Basket Analysis
Page | 23. Layout for Research Report
The research report should include:
• Title
• Abstract
• Introduction
• Background/Motivation
• Related Work – comparison of related work from peer-reviewed sources
• Your Opinion – new ideas, proposed approaches/models, how to extend the existing work
• Data and Analysis – data set details, initial analysis, visualisation and MapReduce pseudo
code
• Conclusion and Future Issues
• References
4. General guidelines
• Your submission must be individual work.
• Minimum 6 pages (including references) in 2 columns IEEE proceedings format – the word
and LaTex template is available on Canvas.
• Minimum 8 full and consistent electronic references from peer-reviewed sources.
• References must be clickable (important for efficient marking).
• Your opinion section is a very important part of the report. In this section, you will present
your own thoughts about the existing works. Based on this you will give your opinions on
how the existing work can be improved further. Your opinions about big-data-related issues
should be presented. This section should consist of at least one page.
• The data and analysis section requires you to select/download data online using Google
Dataset Search or from other sources. The source and link of the dataset need to be
incorporated. The initial analysis can be conducted using the existing tools or writing a
program. Please try to use the techniques delivered in this paper. There is no requirement for
specific programming languages if you want to write programs. Namely, you can use any
programming language if you want to write programs to conduct data analysis. Figures
should be inserted into the research report.
• Write pseudo-code/explain the idea of how to apply MapReduce to the specific problem.
• For your convenience, a sample research report will be available on Canvas under the
assessment module.
5. What to submit
• Research report in a PDF file.
• Note: the above file should be named with your family name and student ID, e.g.,
Smith_12345.
Page | 36. When to submit
• Due date: The end of Week 13 (Friday, 11:59 P.M)
• Late penalty: maximum late submissions time is 24 hours after the due date. In this case, 5%
late penalty will be applied.
• Incorrect Paper Format: 10% penalty if the format of the paper doesn’t conform to the
required format – 2 columns IEEE proceedings format
• Penalty for Failure to Meet the Required Paper Length: 5 – 5.5 pages -5%, 4-5 pages –
10%, 3-4 pages -20%, 1-3 pages -50%.
• Late submission with SCA: no penalty if the assignment is submitted within the SCA
period.
• Plagiarism: If the assignment is classified as plagiarism (the overall similarity score is
above 25%), all the items will be given 0. Do check your similarity report after
submission. Please revise the report and resubmit it if it doesn’t meet the requirement. If
a particular section has a very high similarity score, a penalty for that section will be
applied. Copying data analysis from online resources, e.g., Kaggle, will be considered
plagiarism.
7. How to submit
• All assessments should be submitted through Canvas.
• NOTE: If you are using any material or figures in the assessment that is not your own, do
remember to cite/reference the source.
• All assessments will be assessed through the Turnitin system. In case of plagiarism, the
University policy against plagiarism will be applied.
Page | 4Page | 5
8. Big Data Research Report Rubric
Weight
Report Components and
Requirements
Excellent
(80%-100%)
Good
(60% – 80%)
Satisfactory
(40%-60%)
Unsatisfactory
(0%-40%)
10%
Title and Abstract
• The title summarises the main
idea of the study and gives a
reasonable scope of the
research.
• The abstract should be one
paragraph (200-250 words),
and it should cover the whole
theme of the report.
➢ The title reflects the main
idea of the study. It
contains the fewest
possible words needed to
describe the research
paper’s content and
purpose adequately.
➢ The scope of the research
is reasonably described
based on the title.
➢ The length of the abstract
is adequate. States clearly
question being asked in
200-250 words.
➢ Highlight the most
important findings with
enough information to
understand the research.
➢ States the major findings
and conclusions.
➢ The title reflects the main
idea of the study but
gives a broad scope.
➢ The abstract is written in
a scientific style but is
relatively well organised
or concise.
➢ The abstract includes
a
concise summary of
questions and findings.
➢ The title is not tailored to student’s research.
➢ The abstract does not give an overview that
leads directly to the reader being able to state
the study’s major findings.
➢ The length of the abstract appears not adequate,
i.e., either too long or too short.
➢ The abstract is not written in a scientific style.
Even some references are included in the
abstract.
20% Introduction and Background
• The introduction part should
introduce the topic and its
importance. It should also
include at least one diagram
related to the topic. One page
is sufficient for the
introduction section.
➢ The introduction is
engaging, states the main
topic and previews the
structure of the paper.
➢ The background of the
research is well structured.
It also explains the specific
reasons for conducting a
study. The motivations are
explicitly presented. Two
➢ The introduction states
the main topic and
previews the structure of
the paper.
➢ The background of the
research is relatively well
structured. The
motivation of the study is
not strong. The reasons
for the study are given
➢ The introduction states
the main topic but
does not adequately
preview the structure
of the paper.
➢ The background of the
research is not well
structured. The
motivation of the
study is not strong.
➢ There is no clear
introduction or main
topic, and the
structure of the paper
is missing.
➢ The background of
the research is not
well structured. The
motivation of the
study is not strong. Page | 6
• The background is important
to understand the topic in
depth, while motivation
presents the importance of the
topic statement of objectives;
two themes identified for the
report should be clearly
stated.
• One page is sufficient for the
background section.
themes identified for the
report are clearly stated.
but appear a bit too
general.
➢ It also explains the
reasons for conducting a
study. The motivations
are explicitly presented.
Two themes identified
for the report are clearly
stated.
Two themes are
identified for the
report but not clearly
explained.
Missing themes
identified for the
report.
20% Related Work/Literature
Review
• Related work should comprise
the reviews of the current
state of knowledge relevant to
the topic.
• Comparison and contrast
between different
authors/approaches should be
clear.
• Page length is 1 to 2.
➢ The literature reviewed
closely relates to the main
topic and sets up the
rationale for the study
aim/purpose by clearly
identifying a gap in the
literature.
➢ Literature covers the
relevant and current
articles in detail. Only
scholarly articles are used
to build the argument for
the need for the study.
➢ The comparison and
contrast between different
authors or approaches are
very clear.
➢ The page length meets the
requirements.
➢ The literature reviewed
relates to the study topic.
All major sections of the
literature are included
but may not be covered
in-depth, or a few areas
of the relevant literature
are not covered.
➢ The comparison and
contrast between
different authors or
approaches are clear.
➢ Most articles/sources
reviewed are from
scholarly sources, but a
few are not.
➢ The page length meets
the requirements.
➢ The literature reviewed has weak or no
connection to the topic under study.
➢ A clear rationale for the study aim/purpose (the
gap in the literature) is not identified.
➢ Major sections of literature are omitted, or the
literature review is not from scholarly sources.
➢ The comparison and contrast between different
authors or approaches are not clear.
➢ The page length does not meet the requirements.
20% Your Opinion
• This is an important section in
which the student will critique
the existing work and will
➢ The existing works are
very well critiqued.
➢ The opinions are presented
in a logical manner. Strong
evidence is given to
➢ The existing works are
commented. The
opinions are presented in
a logical manner. Some
evidence is given to
➢ The existing works are
stated but not well
critiqued.
➢ The opinions are
presented in a logical
➢ The existing works
are stated but
without any critical
comments.
➢ The opinions are not Page | 7
present his/her own opinion
about how to improve it
further?
• This section should reflect
some research insight
developed by the student.
• Your opinions about big-data
related issues should be
presented.
support the opinions. The
opinion also presents
creativity and innovation,
shedding light on future
research directions. The
research insights are also
reflected.
➢ Opinions associated with
Big Data related issues are
well presented.
support the opinions. The
research insights are also
reflected.
➢ Opinions associated with
Big Data related issues
are well presented.
manner.
➢ Very little evidence is
given to support the
opinions.
➢ No opinions are
associated with Big
Data related issues.
well structured.
➢ Lack of evidence for
supporting the
opinions.
➢ The research insights
are missing.
➢ No opinions are
associated with Big
Data related issues
20% Data and Analysis
• Select/download a dataset
using Google Dataset Search
or from other sources, and
source/links are included.
• Conduct an initial analysis and
visualise the results.
• Write pseudo-code/explain the
idea of how to apply
MapReduce to the specific
problem.
➢ Moderate size
10MB+/10K+ records
➢ The link and the source of
the datasets are clearly
explained.
➢ The data statistics are
listed in the report.
➢ The big data tools taught in
this paper are utilised as a
part of the data analysis.
➢ Initial analysis, including
basic statistical analysis
and aggregation results, is
well presented.
➢ MapReduce pseudo-codes
(to address the problem
stated in the report) are
well designed with
excellent explanations.
➢ Moderate size
10MB+/10K+ records
➢ The link and the source
of the datasets are clearly
explained.
➢ The data statistics are
listed in the report.
➢ Appropriate tools are
selected for conducting
data analysis, but the big
data tools taught in this
paper are NOT used.
➢ Initial analysis, including
basic statistical analysis
and aggregation results,
is well presented.
➢ MapReduce pseudo
codes (to address the
problem stated in the
report) are well designed
with excellent
explanations.
➢ The dataset is small, with less than
10MB+/10K+ records.
➢ The link and the source of the datasets are
missing.
➢ The data statistics are listed in the report.
➢ Appropriate tools are selected for conducting
data analysis, but the big data tools taught in
this paper are NOT used.
➢ Initial analysis, including basic statistical
analysis and aggregation results, is presented.
➢ MapReduce pseudo-codes are missing or not
well designed. Page | 8
10% Conclusion and References
• In this section, students will
draw conclusions on the given
topic. In other words, it is a
brief summary of the work
presented in the research
report. You also need to
discuss at least two future
issues on the topic.
• All references should be from
peer-reviewed journals and
conferences. They must be
clickable in the document.
Each report should include at
least 8 peer-reviewed
references.
➢ The conclusion captures
the focus of the research
paper.
➢ The conclusion
summarises the main
points/aspects of the
research paper by
paraphrasing the paper
statement, where the
conclusions drawn from
the research are clearly
explained.
➢ The conclusion provides at
least two future issues, and
all of them are reasonable
and well presented.
➢ References are peer
reviewed professional
journals and conference
papers. The reader is
confident that the
information and ideas can
be trusted.
➢ The number of references
meets the requirement, and
the APA format is used
accurately.
➢ The conclusion captures
the focus of the research
paper.
➢ The conclusion
summarises the main
points/aspects of the
research paper by
paraphrasing the paper
statement.
➢ The conclusion provides
at least two future issues,
and all of them are
reasonable and well
presented.
➢ Most references are peer
reviewed professional
journals and conference
papers, but some of them
are not.
➢ The number of
references meets the
requirement, and the
APA format is used
accurately.
➢ The conclusion does
not capture the focus
of the research paper
well.
➢ The conclusion repeats
the introduction
instead of
summarising the main
points/aspects of the
research paper.
➢ The conclusion
provides only one
future issue.
➢ The future issues
appear not reasonable.
➢ Most references are
peer-reviewed
professional journals
and conference
papers, but some of
them are not.
➢ The number of
references meets the
requirement, and the
APA format is used
accurately.
➢ The conclusion fails
to capture the focus
of the research
paper.
➢ The conclusion
repeats the
introduction instead
of summarising the
main points/aspects
of the research
paper.
➢ The future issue is
missing.
➢ Most references are
not peer-reviewed
professional journals
and conference
papers.
➢ The number of the
references doesn’t
meet the requirement
-0%
to
-100%
Others
• Incorrect Paper Format
• Fail to Meet the Required
Paper Length
• Late Submission
• Plagiarism
➢ Incorrect Paper Format: 10% penalty if the format of the paper doesn’t conform to the required format – 2
columns IEEE proceedings format
➢ Fail to Meet the Required Paper Length: 5 – 5.5 pages -5%, 4-5 pages -10%, 3-4 pages -20%, 1-3 pages –
50%.
➢ Late submission penalty: 5% penalty.
➢ Late submission with SCA: no penalty if the assignment is submitted within the SCA period.
➢ Plagiarism: If the assignment is classified as plagiarism (the overall similarity score is above 25%), all
the items will be given 0. Do check your similarity report after submission. Please revise the report and resubmit it if it doesn’t meet the requirement. If a particular section has a very high similarity score, a
penalty for that section will be applied. Copying data analysis from online resources, e.g., Kaggle, will
be considered plagiarism.
Page |
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