Data Mining Essays and Research Papers

Instructions for Data Mining College Essay Examples

Title: Data Mining Health Care data warehousing a method data storage streamlined data management retrieval Data mining software aids clarifying relationships stored data assists retrieving specific information needed

  • Total Pages: 3
  • Words: 1003
  • References:3
  • Citation Style: APA
  • Document Type: Essay
Essay Instructions: Data Mining in Health Care
data warehousing is a method of data storage that allows for streamlined data management and retrieval. Data mining software aids in clarifying the relationships between stored data and assists in retrieving specific information as needed. In health care organizations, the information this process yields can be used to cut costs and improve patient care.
explore the concept of data mining from a health care perspective.
To prepare:
What are the potential benefits of using data mining in health care?
Review the information in the Learning Resources on the different types of data warehousing and how the one selected impacts data mining.
Review the Hey article, ?The Next Scientific Revolution.? Consider how data mining through machine learning can be applied to health care.
Reflect on your initial impressions of automated data mining in health care. What are your thoughts on applying this type of data mining to patient care? Consider possible drawbacks of both guided and automated data mining. What approaches and strategies could be used to address those concerns?
Consider any ethical ramifications of using data mining or machine learning as a tool for prognosis.
analysis of how data mining can be beneficial to a health care system. Assess how the type of data warehousing used can impact the ability to mine data. Describe examples of the successful use of guided data mining and automated data mining within health care and cite your source. Describe any reservations you have or ethical issues you foresee in using data mining to provide health care information. What approaches and strategies could be used to address those concerns? Justify your responses.

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References

Kusserow R,(2010).Benefits of Data mining in HealthCare: The future has arrived. Retrieved 20 January from http://www.compliance.com/articles/benefits-of-data-mining-in-healthcare/

Kirby, M,.Flick, E.&Kerstingt, M.(2010).The Benefits of Digging Deeper: Using Data mining to improve Employee Health and reduce Employee costs. Retrieved 20 January from http://www.sibson.com/publications/perspectives/volume_18_issue_2/digging-deeper.html

Conjecture corporation.(2003). What Are the Different Types of Data Warehousing Tools? Retrieved 20 January from http://www.wisegeek.org/what-are-the-different-types-of-data-warehousing-tools.htm

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Title: I write a 4 5 page paper data mining The questions I write Please write paper based 5 questions The development complex algorithms mine mounds data collected people digital devices led adoption data mining businesses a means understanding customers

  • Total Pages: 4
  • Words: 1387
  • Works Cited:3
  • Citation Style: MLA
  • Document Type: Research Paper
Essay Instructions: I have to write a 4-5 page paper on data mining. The questions that I have to write are below. Please write the paper based off of the 5 questions below.

The development of complex algorithms that can mine mounds of data that have been collected from people and digital devices have led to the adoption of data mining by most businesses as a means of understanding their customers better than before. Data mining takes place in retailing and sales, banking, education, manufacturing and production, health care, insurance, broadcasting, marketing, customer services, and a number of other areas. The analytical information gathered by data-mining applications has given some businesses a competitive advantage, an ability to make informed decisions, and better ways to predict the behavior of customers. I have to Write a four to five (4-5) page paper in which I:

1. Determine the benefits of data mining to the businesses when employing:
1. Predictive analytics to understand the behavior of customers
2. Associations discovery in products sold to customers
3.Web mining to discover business intelligence from Web customers
4.Clustering to find related customer information

2.Assess the reliability of the data mining algorithms. Decide if they can be trusted and predict the errors they are likely to produce.

3. Analyze privacy concerns raised by the collection of personal data for mining purposes.
1. Choose and describe three (3) concerns raised by consumers.
2. Decide if each of these concerns is valid and explain your decision for each.
3.Describe how each concern is being allayed.

4. Provide at least three (3) examples where businesses have used predictive analysis to gain a competitive advantage and evaluate the effectiveness of each business?s strategy.

5. I have to Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.

My assignment must follow these formatting requirements:

Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format.

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References

Cabena, P., Hadjnian, P., Stadler, R., Verhees, J., & Zanasi, A. (1997). Discovering data mining: From concept to implementation. New York, NY: Prentice Hall.

Hastie, T., Tibshirani, R., & Friedman, J. (2001). The elements of statistical learning: Data mining, inference, and prediction. New York, NY: Springer.

Nisbet, R., Elder, J., & Miner, G. (2009). Handbook of statistical analysis & data mining applications. New York, NY: Academic Press/Elsevier.

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Title: The development complex algorithms mine mounds data collected people digital devices led adoption data mining businesses a means understanding customers Data mining takes place retailing sales banking education manufacturing production health care insurance broadcasting marketing customer services a number areas

  • Total Pages: 4
  • Words: 1271
  • Bibliography:4
  • Citation Style: APA
  • Document Type: Essay
Essay Instructions: The development of complex algorithms that can mine mounds of data that have been collected from people and digital devices have led to the adoption of data mining by most businesses as a means of understanding their customers better than before. Data mining takes place in retailing and sales, banking, education, manufacturing and production, health care, insurance, broadcasting, marketing, customer services, and a number of other areas. The analytical information gathered by data-mining applications has given some businesses a competitive advantage, an ability to make informed decisions, and better ways to predict the behavior of customers.

Write a four to five (4-5) page paper in which you:

Determine the benefits of data mining to the businesses when employing:
Predictive analytics to understand the behavior of customers
Associations discovery in products sold to customers
Web mining to discover business intelligence from Web customers
Clustering to find related customer information
Assess the reliability of the data mining algorithms. Decide if they can be trusted and predict the errors they are likely to produce.
Analyze privacy concerns raised by the collection of personal data for mining purposes.
Choose and describe three (3) concerns raised by consumers.
Decide if each of these concerns is valid and explain your decision for each.
Describe how each concern is being allayed.
Provide at least three (3) examples where businesses have used predictive analysis to gain a competitive advantage and evaluate the effectiveness of each business?s strategy.
Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.
Your assignment must follow these formatting requirements:
Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
Include a cover page containing the title of the assignment, the student?s name, the professor?s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.
The specific course learning outcomes associated with this assignment are:
Explain how information technology systems influence organizational strategies.
Evaluate the ethical concerns that information technologies raise in a global context.
Outline the challenges and strategies of e-Business and e-Commerce technology.
Use technology and information resources to research issues in information systems and technology.
Write clearly and concisely about topics related to information systems for decision making using proper writing mechanics and technical style conventions.

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Bibliography:

References

Ahmed, S., A. (2004) 'Applications of Data Mining in Retail Business', IEEE Computer society international Conference on Information Technology: Coding and Computing (ITCC'04).

Berry, M.J.A. And Linoff, G. (1997) Data mining techniques for marketing, sales and customer support, USA: John Wiley and Sons.

Chen, S., Y. And Liu, X. (2005) 'Data mining from 1994 to 2004: an application -- oriented review', International journal of business intelligence and data mining, vol.1, No.1, pp.4-21

Hui, S., C. And Jha, G. (2001) 'Application of data mining techniques for improving customer services', International Journal of computer applications in Technology, Vol.14, No.1-3, pp.64-77.

Lejeune, M., A., P., M. (2001) 'Measuring the impact of data mining on churn management', Internet research, Vol. 11, issue:5 pp. 375 -387

Meltzer M. (2000) 'E-Mining myth and magic: using mining successfully', Amt Active management techniques

Nemati, H.R. And Barko C.R. (2003) "Key Factors for Achieving Organizational Data

Mining Success? Industrial Management and Data Systems, vol. 103, no.4, pp. 282-

Nirkhi, S (2010).Potential use of Artificial Neural Network in Data Mining.Computer and Automation Engineering (ICCAE), The 2nd International Conference, p. 339-343

Obaidullah, MD (2010).Development of hash table-based web-ready data mining engine. Indian Journal of Computer Science and Engineering Vol (1) No 4 p. 258-266

Vijayarani .,S.,Nithya, S (2011).Sensitive Outlier Protection in Privacy Preserving Data

Mining. International Journal of Computer Applications (0975 -- 8887) Vol. 33 -- No.3, November 2011

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Title: Data Mining

  • Total Pages: 4
  • Words: 1427
  • Sources:3
  • Citation Style: MLA
  • Document Type: Research Paper
Essay Instructions: Due Week 9 and worth 75 points
The development of complex algorithms that can mine mounds of data that have been collected from
people and digital devices have led to the adoption of data mining by most businesses as a means of
understanding their customers better than before. Data mining takes place in retailing and sales, banking,
education, manufacturing and production, health care, insurance, broadcasting, marketing, customer
services, and a number of other areas. The analytical information gathered by data-mining applications
has given some businesses a competitive advantage, an ability to make informed decisions, and better
ways to predict the behavior of customers.

Write a four to five (4-5) page paper in which you:
1. Determine the benefits of data mining to the businesses when employing:
a. Predictive analytics to understand the behavior of customers
b. Associations discovery in products sold to customers
c. Web mining to discover business intelligence from Web customers
d. Clustering to find related customer information
2. Assess the reliability of the data mining algorithms. Decide if they can be trusted and predict the
errors they are likely to produce.
3. Analyze privacy concerns raised by the collection of personal data for mining purposes.
a. Choose and describe three (3) concerns raised by consumers.
b. Decide if each of these concerns is valid and explain your decision for each.
c. Describe how each concern is being allayed.
4. Provide at least three (3) examples where businesses have used predictive analysis to gain a
competitive advantage and evaluate the effectiveness of each business?s strategy.
5. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites
do not qualify as quality resources.
Your assignment must follow these formatting requirements:
? Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all
sides; citations and references must follow APA or school-specific format. Check with your
professor for any additional instructions.
? Include a cover page containing the title of the assignment, the student?s name, the professor?s
name, the course title, and the date. The cover page and the reference page are not included in
the required assignment page length.

The specific course learning outcomes associated with this assignment are:
? Explain how information technology systems influence organizational strategies.
? Evaluate the ethical concerns that information technologies raise in a global context.
? Outline the challenges and strategies of e-Business and e-Commerce technology.
? Use technology and information resources to research issues in information systems and
technology.
? Write clearly and concisely about topics related to information systems for decision making using
proper writing mechanics and technical style conventions.

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Excerpt From Essay:
Sources:

References

Two Crows Corporation (1999) Introduction to Data Mining and Knowledge Discovery, http://www.twocrows.com/intro-dm.pdf

Angoss (2012) Predictive Analytics in the Cloud Solutions, http://www.angoss.com/predictive-analytics-solutions/cloud-solutions

Oracle.com (2008) Oracle Data Mining Concepts, http://docs.oracle.com/cd/B28359_01/datamine.111/b28129/clustering.htm

Tiwari, S. (2011) A Web Usage Mining Framework for Business Intelligence, http://www.ijecct.org/v1n1/4.pdf

Kaith, R. (2011) Benefits of Predictive Analytics and Data Mining Services, http://www.articlesnatch.com/Article/Benefits-Of-Predictive-Analytics-And-Data-Mining-Services/1394544#ixzz1wTRRkxKw

Vijayan, J. (2011) How Predictive Analytics can Deliver Strategic Benefits, ComputerWorld.com, http://www.computerworld.com/s/article/9220131/How_predictive_analytics_can_deliver_strategic_benefits

Armonk (2010) IBM: Memphis Police Department Reduces Crime Rates with IBM Predictive Analytics Software, http://www-03.ibm.com/press/us/en/pressrelease/32169.wss

Hill, K. (2011) How Target Figured Out a Teen Girl Was Pregnant Before Her Father Did, Forbes.com, http://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/

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