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Posted: May 1st, 2022
Discuss an application of data mining. How does it solve business problems?
DISCUSSION #1:
Discuss an application of data mining. How does it solve business problems? List of areas where data mining is widely used includes:
financial data analysis, retail and telecommunication industries, science and engineering, intrusion detection and prevention, recommender systems.
The student will research the applications of data mining and write an essay to answer the below questions:
1. Describe the application of data mining in one industry.
2. Discuss how this application of data mining solved business problems.
Writing Guidelines:
Respond to the question thoroughly. This is a formal assignment with a minimum of 200-250 words.
It should include at least one reference from relevant peer-reviewed journal articles and/or books found within the online LIRN library or other reputable sources (peer-reviewed journal articles and/or published books).
These must be properly cited in APA 7th Edition format. Please be sure to avoid plagiarism by citing within your text and in a reference section at the bottom of your post (these should match). Paraphrase or use quote marks if sharing exact words.
DISCUSSION #2:
How do you use data and analytics techniques to help the business make decisions?
This is an open question. The student will research the analytics methods that are used in the business process and write an essay to answer the below questions:
1. What are the use cases of analytics in business?
2. Discuss how to draw conclusions from the analytics methods.
Writing Guidelines:
Respond to the question thoroughly. This is a formal assignment with a minimum of 200-250 words.
It should include at least one reference from relevant peer-reviewed journal articles and/or books found within the online LIRN library or other reputable sources (peer-reviewed journal articles and/or published books).
These must be properly cited in APA 7th Edition format. Please be sure to avoid plagiarism by citing within your text and in a reference section at the bottom of your post (these should match). Paraphrase or use quote marks if sharing exact words.
DISCUSSION #3:
Please read the below articles:
Big data (article attached)
Ryan, M. (2020). Agricultural big data analytics and the ethics of power. Journal of Agricultural and Environmental Ethics, 33(1), 49-69.
https://link.springer.com/article/10.1007/s10806-019-09812-0
(article link attached)
In Ryan’s article he argues that the use of big data by powerful Agricultural Technical Providers (ATP) will likely be used for manipulative purposes against individual farmers by undercutting land prices and confiscating their lands. He gives examples of this through five power types: manipulative, seductive, leadership, coercive, and forceful power.
Examine one of those power types which Mark Ryan describes and how Agricultural Technical Providers through the use of big data could abuse their power, and answer the questions:
1. What do you believe could be done by individuals and governments to prevent such abuse?
2. If these Agricultural Technical Providers followed social responsibility principles, could such abuse be mitigated or prevented? Why or why not?
Writing Guidelines:
Respond to the question thoroughly. This is a formal assignment with a minimum of 200-250 words.
It should include at least one reference from relevant peer-reviewed journal articles and/or books found within the online LIRN library or other reputable sources (peer-reviewed journal articles and/or published books).
These must be properly cited in APA 7th Edition format. Please be sure to avoid plagiarism by citing within your text and in a reference section at the bottom of your post (these should match). Paraphrase or use quote marks if sharing exact words.
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DISCUSSION #1: Describe a data mining application. How does it solve business problems? List of areas where data mining is widely used includes: financial data analysis, retail and telecommunication industries, science and engineering, intrusion detection and prevention, recommender systems.
The student will research the applications of data mining and write an essay to answer the below questions:
1. Describe the application of data mining in one industry.
2. Discuss how this application of data mining solved business problems.
Writing Guidelines: Respond to the question thoroughly. This is a formal assignment with a minimum of 200-250 words.
It should include at least one reference from relevant peer-reviewed journal articles and/or books found within the online LIRN library or other reputable sources (peer-reviewed journal articles and/or
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