DAT565 Phoenix Predictive Analytics and Relationship to Data Mining Paper Analyze data mining in a minimum 1,400-word report and include the following:Expl

DAT565 Phoenix Predictive Analytics and Relationship to Data Mining Paper Analyze data mining in a minimum 1,400-word report and include the following:Explain the importance of data mining, and examine its implementation in real-world scenarios.Summarize the misconceptions of data mining.Critique the confusion of data mining with Online Analytical Processing (OLAP).Analyze the importance of statistical analysis and machine learning techniques in data mining.Cite a minimum of 1 reference from Chapter 2 of the textbook assigned for this course. Predictive Analytics and Relationship to Data Mining Grading Guide
DAT/565 Version 1
Individual Assignment: Predictive Analytics and Relationship to Data Mining
Purpose of Assignment
Business Analytics has evolved from providing descriptive outcomes based on historical information to helping
predict future activities from potential customers or groups leveraging that same information. In order to
accomplish it, new techniques have been implemented for mining the information and thus expanding to
modeling and predictive analytics.
Resources Required
REAL-WORLD DATA MINING: APPLIED BUSINESS ANALYTICS AND DECISION MAKING. Dursun Delen,
(2015). Chapter 2: Introduction to Data Mining
Grading Guide
Content
Met
Partially
Met
Not Met
Comments:
Explain the importance of data mining, and
examine its implementation in real-world
scenarios.
2
Summarize the misconceptions of data
mining.
2
Critique the confusion of data mining with
Online Analytical Processing (OLAP).
1
Analyze the importance of statistical analysis
and machine learning techniques in data
mining.
2
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.
.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
Copyright © 2015 by University of Phoenix. All rights reserved.
1
Predictive Analytics and Relationship to Data Mining Grading Guide
DAT/565 Version 1
The paper follows proper rules of grammar
and usage including spelling and punctuation.
Assignment Total
.4
#
Total
Available
Total
Earned
2
#/2
10
#/10
Additional comments:
Copyright © 2015 by University of Phoenix. All rights reserved.
2
Predictive Analytics and Relationship to Data Mining Grading Guide
DAT/565 Version 1
Individual Assignment: Predictive Analytics and Relationship to Data Mining
Purpose of Assignment
Business Analytics has evolved from providing descriptive outcomes based on historical information to helping
predict future activities from potential customers or groups leveraging that same information. In order to
accomplish it, new techniques have been implemented for mining the information and thus expanding to
modeling and predictive analytics.
Resources Required
REAL-WORLD DATA MINING: APPLIED BUSINESS ANALYTICS AND DECISION MAKING. Dursun Delen,
(2015). Chapter 2: Introduction to Data Mining
Grading Guide
Content
Met
Partially
Met
Not Met
Comments:
Explain the importance of data mining, and
examine its implementation in real-world
scenarios.
2
Summarize the misconceptions of data
mining.
2
Critique the confusion of data mining with
Online Analytical Processing (OLAP).
1
Analyze the importance of statistical analysis
and machine learning techniques in data
mining.
2
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.
.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
Copyright © 2015 by University of Phoenix. All rights reserved.
1
Predictive Analytics and Relationship to Data Mining Grading Guide
DAT/565 Version 1
The paper follows proper rules of grammar
and usage including spelling and punctuation.
Assignment Total
.4
#
Total
Available
Total
Earned
2
#/2
10
#/10
Additional comments:
Copyright © 2015 by University of Phoenix. All rights reserved.
2

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