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1. Research Topic: Super Computer Data Mining
The aim of this project is to produce a super-computing data
mining resource for use by the UK academic community which
utilizes a number of advanced machine learning and statistical
algorithms for large datasets. In particular, a number of
evolutionary computing-based algorithms and the ensemble
machine approach will be used to exploit the large-scale
parallelism possible in super-computing. This purpose is
embodied in the following objectives:
1. to develop a massively parallel approach for commonly used
statistical and machine learning techniques for exploratory data
analysis
1. to develop a massively parallel approach to the use of
evolutionary computing techniques for feature creation and
selection
1. to develop a massively parallel approach to the use of
evolutionary computing techniques for data modelling
1. to develop a massively parallel approach to the use of
ensemble machines for data modelling consisting of many well-
known machine learning algorithms;
1. to develop an appropriate super-computing infra-structure to
support the use of such advanced machine learning techniques
with large datasets.
Research Needs:
Problem definition – In the first phase problem definition is
listed i.e. business aims and objectives are determined taking
into consideration certain factors like the current background
and future prospective.
Data exploration – Required data is collected and explored
using various statistical methods along with identification of
underlying problems.
Data preparation – The data is prepared for modeling by

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cleansing and formatting the raw data in the desired way. The
meaning of data is not changed while preparing.
Modeling – In this phase the data model is created by applying
certain mathematical functions and modeling techniques. After
the model is created it goes through validation and verification.
Evaluation – After the model is created, it is evaluated by a
team of experts to check whether it satisfies business objectives
or not.
Deployment – After evaluation, the model is deployed and
further plans are made for its maintenance. A properly
organized report is prepared with the summary of the work
done.
Research paper Policy
· APA format
. https://apastyle.apa.org/
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https://owl.purdue.edu/owl/research_and_citation/apa_style/apa
_formatting_and_style_guide/general_format.html
· Min number of pages are 15 pages
· Must have
. Contents with page numbers
. Abstract
. Introduction
. The problem
4. Are there any sub-problems?
4. Is there any issue need to be present concerning the problem?
. The solutions
5. Steps of the solutions
. Compare the solution to other solution
. Any suggestion to improve the solution
. Conclusion
. References
· Missing one of the above will result -5/30 of the research
paper
· Paper does not stick to the APA will result in 0 in the research

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paper
· Submission
. you have multiple submission to check you safe assignments
. The percentage accepted is 1%
. Any more percentages will result to drop your grade by
multiple by 2
3. For example, if your percentage from safe assignments is
21% then your grads will drop as 21-1= 20 * 2 = - 40
. Not submitting your research paper will result in your grade is
-30