COMP8230 Mining Unstructured Data
Assessment Task 1
Report on Data Mining in Industry
Assessment Type: Report
Indicative Time on Task: 20 hours
Due: Week 5 – 26 March, 5pm Weighting: 30%
Students will write a report on an aspect of the application of unstructured data mining in an industry context.
On successful completion you will be able to:
• Demonstrate an understanding of basic concepts, techniques, algorithms and modellings in unstructured data mining.
• Present and analyse the unstructured data mining results with advanced data mining techniques.
1. Title Page
The title page of the report will include:
a. Unit/Assessment
b. Name of the internee, Student ID and session
c. Submission date of the internship report
d. Name of the University
e. MQ logo
2. Executive Summary
Executive summary previews every section of the report in a short form. It can be called as micro image of the report. It helps the reader to get a quick glance at the report before reading it in detail. Everything important that you have done, discovered and concluded should be mentioned but briefly and concisely 3. Table of contents
List the important headings and sub headings in the report with page numbers. Also make a separate list of tables and figures in the table of contents if you have used any.
4. Industry context – Domain This section should include:
• Introduction to the industry context (e.g., Health, Banking, Education, etc.)
• Different data islands (from socal, open, private and IoT) important for data mining and analytics in the domain.
5. Motivating Scenario
A motivating scenario in the specified context, to help the reader understand the applications of data mining in the industry context, and how mining unstructured data from different islands, can provide business value for that industry.
6. Problem statement
Problem statements are widely used by businesses and organizations to execute process improvement projects. The main purpose of the problem statement is to identify and explain the problem. In particular, what is the problem that the industry is facing, and how mining unstructured data, can help in addressing that problem. In this section, you will need to:
• Provide a concise description of an issue to be addressed or a condition to be improved upon.
• Identify the gap between the current (problem) state and desired (goal) state of a process.
7. Approach
In this section, you will need to provide the general research strategy that outlines the way in which research is to be undertaken and identify the methods to be used in it. These methods, described in the methodology, define the means of data organization and curation, for the specific industry context you are dealing with.
8. Results/Prototypes
Evaluation research is the systematic assessment of the worth or merit of time, money, effort and resources spent in order to achieve a goal. Many methods like surveys and experiments can be used to do evaluation research. The common goal of most evaluations is to extract meaningful information from the audience and provide valuable insights to evaluators such as sponsors, donors, client-groups, administrators, staff, and other relevant constituencies. Accordingly, in this section, you can present your results or prototypes that can be used to tackle the problem you discussed in Section 6.
9. Conclusion
In this section, you are required to describe the industry context to your evaluation/assessment, in the light of critical analyses, and provide some recommendation on applications of mining unstructured data in the proposed industry context.
10. References
In this section, provide all the references and sources in APA format that you have used for data collection in your Report.
Title Page Mark: 1
Executive Summary Mark: 2
Table of contents Mark: 1
Industry context
• Introduction to the industry context (1 Mark)
• Which data islands and Why (1 Mark) Mark: 2
Motivating Scenario
• Feasibility of Scenario (1 Mark)
• How mining unstructured data can provide business value (2 Marks) Mark: 3
Problem statement
• the problem itself, stated clearly and with enough contextual detail to establish why it is important (2 Marks)
• the method of solving the problem, often stated as a claim or a working thesis (2 Marks)
• the purpose, statement of objective and scope of the document the writer is preparing (2 Marks) Mark: 6
Approach
• The type of research you did (1 Mark)
• How you would collected your data (2 Mark)
• How you would analyzed your data (2 Marks)
• Algorithms, tools or materials you used in the research (1 Mark)
• Your rationale for choosing these methods (1 Mark) Mark: 7
Results/Prototypes
• Methods Used for evaluation of the research (2 Marks)
• Result/Prototype Presentation (2 Marks) Mark: 4
Conclusion Mark: 2
References Mark: 2
Total 30
Format and Page Limit:
- 12-point font size, preferably Times New Roman (or an equivalent sized font)
- Between 10 to 20 Pages (including the cover page and references)
- Requires proper Academic Writing (Link: http://student.mq.edu.au/public/download.jsp?id=55223)
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