Data mining assignment 4 | Computer Science homework help


  

1. Obtain one of the data sets available at the UCI Machine Learning Repository and apply as many of the different visualization techniques described in the chapter as possible. The bibliographic notes and book Web site provide pointers to visualization software.

2. Identify at least two advantages and two disadvantages of using color to visually represent information.

  1. What      are the arrangement issues that arise with respect      to three-dimensional plots?
  2. Discuss      the advantages and disadvantages of using sampling to reduce the number of      data objects that need to be displayed. Would simple random sampling (without      replacement) be a good approach to sampling? Why or why not?
  3. Describe      how you would create visualizations to display information that de-scribes      the following types of systems.

a) Computer networks. Be sure to include both the static aspects of the network, such as connectivity, and the dynamic aspects, such as traffic.

b) The distribution of specific plant and animal species around the world fora specific moment in time.

c) The use of computer resources, such as processor time, main memory, and disk, for a set of benchmark database programs.

d) The change in occupation of workers in a particular country over the last thirty years. Assume that you have yearly information about each person that also includes gender and level of education. 

Be sure to address the following issues:

· Representation. How will you map objects, attributes, and relation-ships to visual elements?

· Arrangement. Are there any special considerations that need to be taken into account with respect to how visual elements are displayed? Specific examples might be the choice of viewpoint, the use of transparency, or the separation of certain groups of objects.

· Selection. How will you handle a large number of attributes and data objects

6. Describe one advantage and one disadvantage of a stem and leaf plot with respect to a standard histogram.

7. How might you address the problem that a histogram depends on the number and location of the bins?

 

8. Describe how a box plot can give information about whether the value of an attribute is symmetrically distributed. What can you say about the symmetry of the distributions of the attributes shown in Figure 3.11?

 

9. Compare sepal length, sepal width, petal length, and petal width, using Figure3.12.

 

10. Comment on the use of a box plot to explore a data set with four attributes: age, weight, height, and income.

 

11. Give a possible explanation as to why most of the values of petal length and width fall in the buckets along the diagonal in Figure 3.9.

 

12. Use Figures 3.14 and 3.15 to identify a characteristic shared by the petal width and petal length attributes.

 

  

13. Simple line plots, such as that displayed in Figure 2.12 on page 56, which shows two time series, can be used to effectively display high-dimensional data. For example, in Figure 2.12 it is easy to tell that the frequencies of the two time series are different. What characteristic of time series allows the effective visualization of high-dimensional data?

 

14. Describe the types of situations that produce sparse or dense data cubes. Illustrate with examples other than those used in the book.

 

15. How might you extend the notion of multidimensional data analysis so that the target variable is a qualitative variable? In other words, what sorts of summary statistics or data visualizations would be of interest?

 

16. Construct a data cube from Table 3.14. Is this a dense or sparse data cube? If it is sparse, identify the cells that are empty.

17. Discuss the differences between dimensionality reduction based on aggregation and dimensionality reduction based on techniques such as PCA and SVD.

Inferential statistics in decision-making | Computer Science homework help


Assignment: 

Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of Inferential Statistics in Decision-making have been applied, or could be applied, in a practical manner to your current work environment. 

Requirements: 

Provide a 500 word (or 2 pages double spaced) minimum reflection. 

Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited. 

Share a personal connection that identifies specific knowledge and theories from this course. 

Demonstrate a connection to your current work environment 

You should NOT, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.

500 words with APA format needed.

Project management – it project schedule


 Details on the Project:  IT Project Specifications v2.pdf 

Use this project schedule template for the assignment:  IT Project Schedule template.xlsx

When references and citations are included, you must apply and use the basic citation styles of APA. Do not claim credit for the words, ideas, and concepts of others. 

Use in-text citation and list the reference on your supporting source following APA’s style and formatting. 
Do not copy and past information or concepts from the Internet and claim it as your work. It will be considered Plagiarism and you will receive zero for your work.

Research abstract published quantitative scholarly article


For this week, we will focus on writing a scholarly abstract of a quantitative journal. More information about writing an abstract can be found via the web resource “Writing Scholarly Abstracts.

Directions: Analysis of Research abstract published quantitative scholarly article related to Enhancing Cyber Security In Healthcare -With The Help Of Machine Learning .Each abstract must therefore consist of the following in this order:

  1. Bibliographic Citation – use the correctly formatted APA style citation for the work as the title of your abstract, displaying the full citation in bold font.
  2. Author Qualifications – name and qualification of each author conducting the research
  3. Research Concern – one paragraph summary of the reason for the overall research topic
  4. Research Purpose Statement AND Research Questions or Hypotheses – specific focus of the research
  5. Precedent Literature – key literature used in proposing the needed research (not the full bibliography or reference list)
  6. Research Methodology – description of the population, sample, and data gathering techniques used in the research
  7. Instrumentation – description of the tools used to gather data (surveys, tests, interviews, etc.)
  8. Findings – summation of what the research discovered and the types of analysis that were used to describe the findings (tables, figures, and statistical measures)

1000 words

APA format needed with references

Please follow above mentioned directions to complete this assignment.

Discussion and assignment. | Computer Science homework help


Discussion:

 

1) What happens when we place the authentication system in our demilitarized zone (DMZ)—that is, in the layer closest to the Internet? 

2) What do we have to do to protect the authentication system? Does this placement facilitate authentication in some way? How about if we move the

authentication system to a tier behind the DMZ, thus, a more trusted zone? What are the implications of doing so for authentication performance? For security?

Note:  400-500 words minimum | APA Format |  at least two references. 

Assignment:

see the attached document (assignemnt_2)

Note:  600 words minimum | APA Format |  at least two references. 

Analytics and ai assignment | Computer Science homework help


 Complete the following assignment in one MS word document:

Chapter 14–discussion question #1, #3, #4 & exercise 2

APA in-text citations) to support the work this week.

All work must be original (not copied from any source).

discussion question

  1. Some say that analytics, in general, dehumanize managerial activities, and others say they do not. Discuss arguments for both points of view.  

3. What are some of the major privacy concerns in employing intelligent systems on mobile data? 

4. Identify some cases of violations of user privacy from current literature and their impact on data science as a  profession. 

exercise 2:

Search the Internet to find examples of how intelligent systems can facilitate activities such as empowerment,  mass customization, and teamwork.