DAT565 University of Phoenix Methodologies of Data Mining Paper Methodologies of Data Mining Compose a minimum 1,400-word analysis in which you include th

DAT565 University of Phoenix Methodologies of Data Mining Paper Methodologies of Data Mining

Compose a minimum 1,400-word analysis in which you include the following about Six Sigma for Data Mining:

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Appraise the popularity of Cross-Industry Standard Process for Data Mining (CRISP-DM), and evaluate its methodology.
Construct an example of how Six Sigma for Data Mining helps manufacturing organizations.
Evaluate the relation of the Define, Measure, Analyze, Improve and Control (DMAIC) methodology to Six Sigma for Data Mining.
Investigate how Define, Measure, Analyze, Improve and Control (DMAIC) could be applied to a manufacturing organization.

Cite a minimum of 1 peer reviewed reference from the University Library and 1 reference from Chapter 3 of the textbook assigned for this course. Methodologies of Data Mining Grading Guide
DAT/565 Version 1
Individual Assignment: Methodologies of Data Mining
Purpose of Assignment
To create predictive models that can be leveraged for targeting specific audiences, different techniques of data
mining can be approached. Industry standard processes have been well documented and are currently in use
by several organizations. This assignment will allow students to identify those models and understand their
purpose the processes involved in using them.
Resources Required
REAL-WORLD DATA MINING: APPLIED BUSINESS ANALYTICS AND DECISION MAKING. Dursun Delen,
(2015). Chapter 3: The Data Mining Process
Grading Guide
Content
Met
Partially
Met
Not Met
Comments:
Appraise the popularity of Cross-Industry
Standard Process for Data Mining (CRISPDM), and evaluate its methodology.
1.75
Construct an example of how Six Sigma for
Data Mining helps manufacturing
organizations.
1.75
Evaluate the relation of the Define, Measure,
Analyze, Improve and Control (DMAIC)
methodology to Six Sigma for Data Mining.
1.75
Investigate how Define, Measure, Analyze,
Improve and Control (DMAIC) could be
applied to a manufacturing organization.
1.75
The paper is a minimum of 1,400 words in
length.
1
Writing Guidelines
Met
Total
Available
Total
Earned
8
#/8
Partially
Met
Not Met
Comments:
The paper — including tables and graphs,
headings, a title page, and a reference page
— is consistent with APA formatting
guidelines and meets course-level
requirements.
.4
The paper includes properly cited intellectual
property using APA style in-text citations and
a reference page.
Cite a minimum of 1 peer reviewed
reference from the University Library and
1 reference from Chapter 3 of the textbook
assigned for this course.
.4
Copyright © 2015 by University of Phoenix. All rights reserved.
1
Methodologies of Data Mining Grading Guide
DAT/565 Version 1
The paper includes paragraph and sentence
transitions that are logical and maintain flow
throughout the paper.
.4
The paper includes sentences that are
complete, clear, and concise.
.4
The paper follows proper rules of grammar
and usage including spelling and punctuation.
.4
Assignment Total
#
Total
Available
Total
Earned
2
#/2
10
#/X
Additional comments:
Copyright © 2015 by University of Phoenix. All rights reserved.
2

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