Differences between the major data mining methods

Assignment Help Basic Computer Science

Reference no: EM132403377

Question 1: Data Mining

1. What recent factors have increased the popularity of data mining?

2. What are the key differences between the major data mining methods?

3. Is data mining a new discipline? Explain.

Note: Your initial post will be your answer to the Question and is to be 300 - 400 words with at least two references. Initial post will be graded on length, content, grammar and use of references. References should always be below each question as they are a different topic and not related in any way.

Question 2:

This task relates to a sequence of assessments that will be repeated across Chapters 6, 7, 8, 9 and 10. Select any example of a visualisation or infographic, maybe your own work or that of others. The task is to undertake a deep, detailed ‘forensic' like assessment of the design choices made across each of the five layers of the chosen visualisation's anatomy. In each case your assessment is only concerned with one design layer at a time.

For this task, take a close look at the composition choices:

1. Start by identifying all the applications of colour deployed, listing them under the headers of 1) project composition, and 2) chart composition

2. How suitable are the choices and deployment of these composition properties? If they are not, what do you think they should have been?

3. Go through the set of ‘Influencing factors' from the latter section of the book's chapter to help shape your assessment and to possibly inform how you might tackle this design layer differently

4. Also, considering the range of potential composition approaches, what would you do differently or additionally?

Question 3:

If you are using colours in your presentation, how do you choose effective colours that provide good differentiation between the visualizations within a presentation?

Discussion Length (word count): At least 250 words

References: At least two peer-reviewed, scholarly journal references.

Reference: Kirk, A. (2016). Data Visualisation: A Handbook for Data Driven Design. Thousand Oaks, CA: Sage Publications, Ltd.

Note: At least 250 words (not including direct quotes). References should always be below each question as they are different topic and not related in any way.

Reference no: EM132403377

Questions Cloud

The lifeblood of every business organization : According to Franks and Smallwood (2013), information has become the lifeblood of every business organization,

Collection methods necessary for computing components : Evaluate collection methods necessary for computing components (e.g., network infrastructure, servers, and workstations) for evaluation and storage in a SIEM.

Several parts of the nation financial infrastructure : In this scenario, hackers launch cyber attacks that affect several parts of the nation's financial infrastructure over the course of several weeks.

Mobile and social computing discussion : Mobile phones have transformed our lives. By allowing instant access to information, online purchases, a camera and social media,

Differences between the major data mining methods : What recent factors have increased the popularity of data mining? What are the key differences between the major data mining methods?

From your text resources or from the college library : From your text resources or from the College library (Harvard Business Review is always a good source) or the Internet

Achieve by testing software for security issues : List and explain at least two things you can achieve by testing software for security Issues.

Contribution to the practices of information technology : How can obtaining a doctorate impact your contribution to the practices of information technology? Where do you see yourself after obtaining a doctorate from UC

Did GEDS make effective use of market risk management : Had there been any previous instances or notifications of deficiencies in DLP's controls? Did GEDS make effective use of market risk management?

User Account

All Pages