Data base

 

Throughout the semester, you  learned about different database types and even studied a variety of  database platform. Where do you think data systems will be in five years  from now? How about 10 years from now? Will autonomous system, machine  learning, artificial intelligence, or blockchain play an integral role  in the future of data systems?

Instructions

  • This is a required assignment, worth 15 points. The assignment  must be submitted by the due date. Late assignment are not allowed. 
  • You are required to submit a minimum of two postings. Points will be deducted for not fulfilling this minimum requirement.
  • Apply and use the basic citation styles of APA is required. Points are deducted per the rubric for this behavior.
  • Do not claim credit for the words, ideas, and concepts of  others. Use in-text citation and list the reference of your supporting  source following APA’s style and formatting. Points are deducted per the  rubric for this behavior.
  • Do not copy and paste information or concepts from the Internet  and claim that is your work. It will be considered Plagiarism and you  will receive zero for your work. A second offense results in a zero for  the course. A third is termination from the university.

Differences between policies, procedures, standards and guidelines

 

Many organizations don’t understand the differences between policies, procedures, standards and guidelines.

  1. Define and describe the differences between policies, procedures, standards, and guidelines. For each, find and explain an example. This can be from your current/former workplace, school, ones you find on the Internet, or something fictional that would be applicable to each of the supporting mechanisms. 
  2. Also, answer this question: does it matter if one company calls a policy a procedure and another calls it a standard? What can go wrong if this happens?

Questions

 1. 500 words:

Chapter 9 Cluster Analysis

Answer the following questions in a point by point fashion.  NOT an essay. Please ensure to use the Author, YYYY APA citations with any content brought into the assignment.  

  1. For sparse data, discuss why considering only the presence of non-zero values might give a more accurate view of the objects than considering the actual magnitudes of values. When would such an approach not to be desirable?
  2. Describe the change in the time complexity of K-means as the number of clusters to be found increases.
  3. Discuss the advantages and disadvantages of treating clustering as an optimization problem. Among other factors, consider efficiency, non-determinism, and whether an optimization-based approach captures all types of clusterings that are of interest.
  4. What is the time and space complexity of fuzzy c-means? Of SOM? How do these complexities compare to those of K-means?
  5. Explain the difference between likelihood and probability.
  6. Give an example of a set of clusters in which merging based on the closeness of clusters leads to a more natural set of clusters than merging based on the strength of the connection (interconnectedness) of clusters.

Requirement: 

Provide a question and Answer Paper with six (6) Questions specifically answered one after the other 

You must use properly formatted APA in-text citations and scholarly references. NO Copying and Pasting from the Internet or other past student paper. There is no redo for plagiarism. 

2. 250 Words:

 

Consider the mean of a cluster of objects from a binary transaction data set.

1. What are the minimum and maximum values of the components of the mean?

2. What is the interpretation of components of the cluster mean?

3. Which components most accurately characterize the objects in the cluster?

Please clearly LIST your response out to all THREE (3) questions and ensure to cite the specific article with the binary transaction of data set. I will be examing this for myself and other students should verify this as well. Provide the Author, YYYY  and specific page number, with any content brought into the discussion.

Legal and Ethical Challenges of Cybersecurity

 

Cybersecurity policies and regulations should support not interfere  with organization workflow, and ultimately provide the three most  crucial components of security: confidentiality, integrity, and  availability. That is, policies should support people doing their jobs.  Successful security policy needs to demonstrate to employees the value  of security, not just the requirement for security. Thus, establishing  adequate organizational culture is important as it affects security  structure and policy. In 750-1,200 words, discuss organizational factors  in light of Christian worldview by answering questions below:

  1. How  does trust grow in organizations? For example, in some organizations  there is lots of trust at the base of the organization, but this trust  does not necessarily rise up.
  2. When are employees comfortable  with whistleblowing? Should technology have a function in extending the  whistleblowing capabilities of employees?
  3. It seems reasonable  to assume that all organizations have implicit tradeoffs about what is  more and less important in their expressions of policy. How can these be  made more explicit so that policy and security architectures can more  effectively capture these values?
  4. Within an organization, while  monitoring can help with technical aspect (such as access violations),  it does potentially worsen behavioral aspects. Discuss the deciding  factor of how much monitoring is acceptable both ethically and legally  by examining the ideological foundation of the Christian worldview.

Prepare  this assignment according to the guidelines found in the APA Style  Guide, located in the Student Success Center. An abstract isn’t required.

This assignment uses a rubric. Please review the rubric  prior to beginning the assignment to become familiar with the  expectations for successful completion.

You are required to submit this assignment to TurnItIn

Project 4

 

Complete Chapter 8 Hands-On Activity 8-1 “Investigate Product Comparison Information” (page 373 in the print text). Address each point in the bulleted list in the activity. Make sure you include the Web address (URL) of the website where you found the comparisons. ALSO, make sure you choose a comparison where you can suggest additional criteria that could have been used (bullet point 2).  Submissions that do not suggest specific additional criteria will not receive full credit!

Spelling, grammar, correct citations, and content will all influence your project grade.

Discussion Data Mining

Initial Post:
After reading Chapter 1-Introduction, answer the following prompts and then create a new thread with your content.
 

1) In your own words, define “data mining”

2) Suppose that you are employed as a data mining consultant for an Internet search engine company. Describe how data mining can help the company by giving specific examples of how techniques, such as clustering, classification, association rule mining, and anomaly detection can be applied. (provide at least 1 example for each technique)

In order to receive full credit for the initial discussion post, you must include at least two citations (APA) from academic resources

250 Words ————– Which is One Page 

Due today — By 11.59 PM