Analyze data mining in a minimum 1400-word report and include the following:
Cite a minimum of 1 reference from Chapter 2 of the textbook assigned for this course.
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 1400words 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.
.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
#/10
Additional comments: