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Description
Project Topics:
You have been asked by management (manufacturing, healthcare, retail, financial, and etc.,) to create a research report using a data mining tool, data analytic, BI tool. It is your responsibility to search, download, and produce outputs using one of the tools. You will need to focus your results on the data set you select.
Ensure to address at least one topic covered in Chapters 1-9 with the outputs. The paper should include the following as Header sections. You can find some related topics if you want. Then write the term paper.
Example of topics:
1. Using data mining techniques for learning systems….
2. How to improve Health Care System using data mining techniques…
3. Design and develop Network/Information Security using data mining techniques…
4. How efficiently extract knowledge from a big data using data mining techniques…
5. Using data mining techniques to improve the financial/stock information systems…
Types of Data Analytic Tools:
https://www.octoparse.com/blog/top-30-big-data-too...
Excel with Solver, but has limitations
R Studio
Tableau Public has a free trial
Microsoft Power BI
Search for others with trial options
Examples of Dataset:
https://www.forbes.com/sites/bernardmarr/2016/02/1...
Example: Project Construction Format:
You should follow the following content format:
Title: Topic
Name: Logan Lee
ID: 123-45-567
Introduction
Background [Discuss tool, benefits, or limitations]
Review of the Data [What are you reviewing?]
Exploring the Data with the tool
Classifications Basic Concepts and Decision Trees
Other Alternative Techniques
Summary of Results
References:
(Ensure to use the Author, APA citations with any outside content).
Assignment Instructions:
1. No ZIP file
2. The submitted assignment must be typed by ONE Single MS Word/PDF file.
3. At least 10 pages (not including heading and content list pages) and 5 references.
4. Use 12-font size and 1.5 lines space
5. No more than 4 figures and 3 tables
6. Follow APA style and content format: UC follows the APA (American Psychological Association) for writing style in all its courses which require a Paper or Essay.
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Explanation & Answer
Hello, your assignment is complete. Thank you
Running Head: INTRODUCTION TO DATA MINING PROJECT
Introduction to Data Mining Project
Your Name
Instructor
Name of Institution
Date of submission
1
INTRODUCTION TO DATA MINING PROJECT
2
Abstract
The healthcare sector had not considered the importance of data and how it could be used to
improve health outcomes. However, the technological revolution has resulted in a situation
where healthcare facilities are required to gather, store, and share information related to different
patient populations. The concept of data mining is likely to revolutionize the healthcare industry
as it ensures that the stakeholders are in a position to use the data as well as for analytics. The
data mining process results in a situation where healthcare stakeholders can identify various
inefficiencies that can hinder health outcomes. Additionally, the process also ensures that the
industry can use the data to reduce costs while improving the services. Data mining has also been
termed as a critical part of healthcare as it improves the decision-making process. In this project,
the dataset from EMA was analyzed using Tableau public tool. A decision tree was used to solve
the classification problem i.e. classifying shortages of medical supplies as either resolved,
ongoing, or null. Tableau is revolutionizing the medical sector through efficient description and
prediction of future trends.
INTRODUCTION TO DATA MINING PROJECT
3
Table of Contents
Abstract ........................................................................................................................................... 2
Introduction ..................................................................................................................................... 4
Background ..................................................................................................................................... 4
Benefits ....................................................................................................................................... 5
Limitations .................................................................................................................................. 6
Review of the Data.......................................................................................................................... 6
Exploring the Data with the tool ..................................................................................................... 9
Classifications Basic Concepts and Decision Trees ..................................................................... 13
Other Alternative Techniques ....................................................................................................... 15
Sisense....................................................................................................................................... 15
Looker ....................................................................................................................................... 15
ReportPlus ................................................................................................................................. 16
Summary of Results ...................................................................................................................... 16
References ..................................................................................................................................... 17
INTRODUCTION TO DATA MINING PROJECT
4
Introduction
The healthcare sector focuses on interacting with patient populations to improve health
outcomes. In the past, the healthcare facilities relied on information offered on a first-hand basis
by the patients. The technological revolution has resulted in a situation where healthcare
stakeholders have to depend on data gathered from various sources. Data mining is a critical
component of the healthcare sector as it focuses on aspects such as analytics.
In summation, data mining has been a critical part of the healthcare sector as it aids in
processes such as decision making, which ensures that health outcomes can be improved. Data
mining has also been critical to the process as it ensures that the industry can improve on best
practices while reducing the cost.
Background
Of the many data visualization tools, ...
Review
Review
Anonymous
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