This document outlines requirements for a student assignment to apply data mining theory to a manufacturing industry. Students must choose an industry and individual manufacturing step, address decision tree classifiers, and create a 1,000-word research paper and presentation in APA format. The paper and presentation must demonstrate how data mining could be applied to the chosen industry and step, with proper citations and no plagiarism.

1. This written assignment will demonstrate the student’s ability to
apply the theory of datamining to the manufacturing industries.
The fields of data science and mining are applicable to nearly
all industries. This is especially the case with the manufacturing
field. In this area, the different areas of the manufacturing
process provide ample areas to collect the data. Within each
step of the manufacturing process, there are also more
opportunities to collect data. This provides a mountain of the
data to review, clean, and analyze.
Assignments
Please pick a manufacturing industry (e.g. auto, steel, or book
making) and apply data mining to an individual step in the
process. Please also address decision tree classifiers as part of
the research paper.
Requirements
There are two portions for this part of the residency. You will
create a research paper and presentation.
Provide a 1,000 word or 4 pages double spaced research paper.
Use proper APA formatting. Do not plagiarize. Cite other
people’s work; they have put much effort into getting their work
published and deserve to be recognized.
Demonstrate your understanding of how this would be applied
to your choice of industry and step, along with the presentation.
Also, prepare a presentation based on your research paper.

2. Cyber attack against Anthem Blue Cross and Blue Shield
Provide background information, why the area is of concern,
propose a detailed solution, and future research areas.
· Background
· Problem Statement
· Proposed
Solution
· Conclusion
· Future Research Areas
Must be in APA format. Perfect Citations, 100% UNIQUE, 0
plagiarism, PERFECT GRAMMAR. (use Grammarly premium
for 100% correctness and 0 errors)