Methodologies of Data Mining Grading Guide DAT/565 Version 1 2 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 (CRISP-DM), 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 Total Available Total Earned 8 #/8 Writing Guidelines Met 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 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 Total Available Total Earned 2 #/2 Assignment Total # 10 #/X Additional comments: Copyright © 2015 by University of Phoenix. All rights reserved. ...

1. Methodologies of Data Mining Grading Guide
DAT/565 Version 1
2
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 (CRISP-DM), and evaluate its methodology.

2. 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
Total Available
Total Earned
8

3. #/8
Writing Guidelines
Met
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
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. .4
The paper follows proper rules of grammar and usage including
spelling and punctuation.
.4
Total Available
Total Earned
2
#/2
Assignment Total
#
10
#/X
Additional comments:
Copyright © 2015 by University of Phoenix. All rights reserved.