COMP8230 Mining Unstructured Data

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. Macquarie University – Department of Computing
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.