Discussion

Sub: intro to data mining

 Discussion

When thinking about the association rule, answer the following questions this week. 

  1. What is the association rule in data mining?
  2. Why is the association rule especially important in big data analysis?
  3. How does the association rule allow for more advanced data interpretation?

Apa 7 citation

Business Intellegence

 The objective of this assignment is demonstrate the benefits of good data visualization as it relates to Big Data within a particular context. Requirements:

Create a short research-based essay discussing:

  • Benefits of good data visualization as it relates to Big Data
  • Benefits of Big Data visualization within the context of social media

Minimum Word count: 750

Minimum References: 2 

Info Sec & Risk Mgmt

Provide a reflection of at least 500 words of how the knowledge, skills, or theories of Information Security and Risk Management have been applied, or could be applied, in a practical manner to your current work environment. 

500 words APA format needed.

week 3

 1 page

Select a specific type of organization (such as a bank, a hospital, or some other) and imagine you are an IT professional working there. Go online and look for information about WinGate. Look for reviews, articles, and other information beyond what can be found on the vendor’s site. Based on your research, what advantages would this product offer to your organization? What disadvantages?  

Assignment # 5 ( BI)

 Chapter 8: Questions for Discussion #1 through #4

  • How does prescriptive analytics relate to descriptive and predictive analytics?
  • Explain the differences between static and dynamic models. How can one evolve into the other?
  • What is the difference between an optimistic approach and a pessimistic approach to decision making under assumed uncertainty?
  • Explain why solving problems under uncertainty sometimes involves assuming that the problem is to be solved under conditions of risk.

Chapter 8: Exercise 4

  • Investigate via a Web search how models and their solutions are used by the U.S. Department of Homeland Security in the “war against terrorism.” Also investigate how other governments or government agencies are using models in their missions

Chapter 9: Questions for Discussion #1 through #5

  • What is Big Data? Why is it important? Where does Big Data come from?
  • What do you think the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be?
  • What is Big Data analytics? How does it differ from regular analytics?
  • What are the critical success factors for Big Data analytics?
  • What are the big challenges that one should be mindful of when considering implementation of Big Data analytics?

Chapter 9: Exercise 3

  • At teradatauniversitynetwork.com, go to the Sports Analytics page. Find applications of Big Data in sports. Summarize your findings.

Important Note:  In cases if any websites or links do not work, select another respective exercise of choice to replace. ????When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.  Below is the general assessment rubric for this assignment and remember that late penalties are built within the overall assessment so complete this assignment by the Sunday due date of week 5.Important Note:  When I see similarity indexes over 20%, I will review the similarity report to determine if points are going to be docked for plagiarism issues and as a tip, do not include or write the actual questions or exercise directions within these papers.  In other words, all work must be original and not copied from any source and very high similarity indexes will be reported to the University. 

IFSM 201 Professiona

  IFSM 201 Professional Memo Before you begin this assignment, be sure you have read the Small Merchant Guide to Safe Payments documentation from the Payment Card Industry Data Security Standards (PCI DSS) organization. PCI Data Security Standards are established to protect payment account data throughout the payment lifecycle, and to protect individuals and entities from the criminals who attempt to steal sensitive data. The PCI Data Security Standard (PCI DSS) applies to all entities that store, process, and/or t