term paper
assg:1
Term Paper Topic and References
In this assignment, submit your topic and preliminary references, in APA format, that you will use when completing your final research paper.Your submission should include the following elements:
Provide the title of your term paper (note: you may change the wording in the official title in the final version however, you cannot change the topic once you select one).The topic can be anything topic relating to data mining.
Include an introduction on the topic.This introduction should be one-to two-pages in length.
A minimum of 3-5 references in proper APA format.
Your final research paper will be due in week 8.
part 2:
discussion: Discussion 1 (Chapter 3): Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics.
part 3:
Complete the following assignment in one MS word document:
Chapter 3 discussion question #1- 4 ( this means 1,2,3&4)& exercise 12
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.
All work must be original (not copied from any source).
Chapter 3 Slides
Opening Vignette
SiriusXM
Nature of Data
DIWK
Data source reliability
Data content accuracy
Data accessibility
Data security and privacy
Data richness
Data consistency
Data currency
Data granularity
Data validity
Data relevancy
Unstructured
Structured
Categorical
Numerical
Data preprocessing steps Figure 3.3
Regression
Correlation versus regression
Simple versus multiple regression
Figure 3.14 process flow for developing regression models
Most important assumptions in linear regression
Logistic regression
Time-series forecasting
To ensure that all departments are functioning properly.
To provide information.
To provide the results of an analysis.
To persuade others to act.
To create an organizational memory (as part of a knowledge management system).
the use of visual representations to explore, make sense of, and communicate data
Line
Bar
Pie
Scatter
Histogram
Gantt
Pert
Geographic
Which chart should you use?
Visual analytics is a recently coined term that is often used loosely to mean nothing
more than information visualization. What is meant by visual analytics is the combi-
nation of visualization and predictive analytics.
Storytelling
Dashboards provide visual displays of important information that is consolidated
and arranged on a single screen so that the information can be digested at a single
glance and easily drilled in and further explored.
1. Monitoring: Graphical, abstracted data to monitor key performance metrics.
2. Analysis: Summarized dimensional data to analyze the root cause of problems.
3. Management: Detailed operational data that identify what actions to take to re-solve a
problem
Review the Chapter highlights
Review the key terms
Complete the weekly homework
