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Data mining

data and data mining that is interesting to you

Write an essay addressing each of the following points/questions. Be sure to completely answer all the questions for each number item. There should be three sections, one for each item number below, as well the introduction (heading is the title of the essay) and conclusion paragraphs. Separate each section in your paper with a clear heading that allows your professor to know which bullet you are addressing in that section of your paper. Support your ideas with at least three (3) citations in your essay. Make sure to reference the citations using the APA writing style for the essay. The cover page and reference page do not count towards the minimum word amount. Review the rubric criteria for this assignment.

  1. Identify one aspect of big data and data mining that is interesting to you. Explain the concept and how it might bring value to healthcare.
  2. Describe the concept of continuity planning. If you were the director or manager for your current workplace, describe the preparedness program you would recommend.
  3. Locate an article discussing the use of informatics in healthcare education of the general public or of nursing students. Discuss the benefits and drawbacks to using technology in this situation and recommendations from the author. Do you feel this use of technology is a viable method of educating (the public or nursing students)? Why or why not?Length: 500 words per essay prompt/section (1500 total for this assignment)

Answer preview

Data mining is the technique of tracing anomalies, correlations, and patterns within an enormous set of data to make predictions of future outcomes. Data mining uses broad techniques that organizations or governments use to cut costs, increase the revenue level, reduce the level of risks, and enhance customer relationships, among others. Data mining is the composition of three major disciplines which are Artificial Intelligence, Statistics, and Machine Learning.  The concept of data mining was developed in the 1990s after the three disciplines were intertwined (Lu et al., 2017). The processing speed and power have significantly advanced over the past two decades were tedious, time-consuming, and manual data mining practices have been replaced (Lu et al., 2017). More complex sets of data are being analyzed by banks, retailers, telecommunication providers, and manufacturers to find the relationship that exists between various issues like price optimization, demographics or promotions, and competition, risk, or social media. (1759 words)

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