{"id":132898,"date":"2023-09-14T06:12:13","date_gmt":"2023-09-14T06:12:13","guid":{"rendered":"https:\/\/assignmenttutors.net\/blog\/unsupervised-data-mining-business-finance-homework-help\/"},"modified":"2023-09-14T06:12:13","modified_gmt":"2023-09-14T06:12:13","slug":"unsupervised-data-mining-business-finance-homework-help","status":"publish","type":"post","link":"https:\/\/assignmenttutors.net\/blog\/unsupervised-data-mining-business-finance-homework-help\/","title":{"rendered":"Unsupervised data mining | Business & Finance homework help"},"content":{"rendered":"
\n

BUA 6315: Business Analytics for Decision Making\n<\/p>\n

1\n<\/p>\n

\nOverview:\n<\/p>\n

Module 6 Assignment Handout:\n<\/p>\n

Unsupervised Data Mining\n<\/p>\n

In this assignment, you will learn how to apply three unsupervised data mining techniques using\n<\/p>\n

country-level health and population measures data and social media usage patterns data.\n<\/p>\n

\nPrompt:\n<\/p>\n

For this assignment, you will analyze the three case studies below and address the questions associated\n<\/p>\n

with each.\n<\/p>\n

\nFor all cases, first partition data sets into 50% training, 30% validation, and 20% test and use 12345 as the\n<\/p>\n

default random seed. If the predictor variable values are in the character format, then treat the predictor\n<\/p>\n

variable as a categorical variable. Otherwise, treat the predictor variable as a numerical variable.\n<\/p>\n

\nCase 1:\n<\/p>\n

For this case, first download the data: Health Population data (available in Blackboard).\n<\/p>\n

Next review the following case study:\n<\/p>\n

The data set Health Population contains country-level health and population measures for 38 countries from\n<\/p>\n

the World Bank\u2019s 2000 Health Nutrition and Population Statistics database. For each country, the measures\n<\/p>\n

include death rates per 1,000 people (Death Rate, %), health expenditure per capita (Health Expend, in\n<\/p>\n

US$), life expectancy at birth (Life Exp, in years), male adult mortality rate per 1,000 male adults (Male\n<\/p>\n

Mortality), female adult mortality rate per 1,000 female adults (Female Mortality), annual population growth\n<\/p>\n

(Population Growth, in %), female population (Female Pop, in %), male population (Male Pop, in %), total\n<\/p>\n

population (Total Pop), size of labor force (Labor Force), births per woman (Fertility Rate), birth rate per\n<\/p>\n

1,000 people (Birth Rate), and gross national income per capita (GNI, in US$).\n<\/p>\n

Then complete the actions below and record your answers in a Microsoft Word document.\n<\/p>\n

\nNote: For step-by-step instructions on how to use Excel and Analytic Solver to estimate and predict with\n<\/p>\n

both clustering methods and how to interpret results, refer to the following videos from the module\u2019s lesson:\n<\/p>\n

\u25cf Hierarchical Cluster Analysis – Introduction (5:14)\n<\/p>\n

\u25cf Using Analytic Solver to Perform Agglomerative Clustering (4:42)\n<\/p>\n

\u25cf Using Analytic Solver to Perform K-Means Clustering (3:15) <\/p>\n

Section 1: Hierarchical Clustering:\n<\/p>\n

1. Perform agglomerative clustering to group 38 countries according to their health measures listed\n<\/p>\n

below. Use the Euclidean distance and the average linkage clustering method (Group average\n<\/p>\n

linkage) to cluster the data into three clusters. Is data standardization necessary in this case?\n<\/p>\n

Explain.\n<\/p>\n

Use the following measures only: Death Rate, Health Expend, Life Exp, Male Mortality, and <\/p>\n<\/p><\/div>\n

\n

BUA 6315: Business Analytics for Decision Making\n<\/p>\n

3\n<\/p>\n

2. Report the size and the average GNI per capita of each group.\n<\/p>\n

Section 2: K-Means Clustering:\n<\/p>\n

3. Perform K-Means clustering to group 38 countries according to their health measures listed below\n<\/p>\n

to cluster the data into three clusters. Is data standardization necessary in this case? Explain.\n<\/p>\n

Use the following measures only: Death Rate, Health Expend, Life Exp, Male Mortality, and\n<\/p>\n

Female Mortality, Fertility Rate and Birth Rate<\/p>\n<\/p><\/div>\n

\n

BUA 6315: Business Analytics for Decision Making\n<\/p>\n

4\n<\/p>\n

4. Describe the characteristics of each cluster by comparing the averages of GNI per capita,\n<\/p>\n

Population Growth, Labor Force, Fertility Rate and Birth Rate of each group and report your findings\n<\/p>\n

in a table.\n<\/p>\n

Case 2:\n<\/p>\n

For this case, first download the data: Social Media Usage data (available in Blackboard).\n<\/p>\n

Next review the following case study:\n<\/p>\n

Adrian Brown is a researcher studying social media usage patterns. In his research, he noticed that people\n<\/p>\n

tend to use multiple social media applications, and he wants to find out which popular social media\n<\/p>\n

applications are often used together by the same user. He surveyed 100 users about which social media\n<\/p>\n

applications they use on a regular basis.\n<\/p>\n

\nThen complete the actions below and record your answers in a Microsoft Word document.\n<\/p>\n

\nNote: For step-by-step instructions on how to use Excel and Analytic Solver to estimate and predict with\n<\/p>\n

association rule and how to interpret results, refer to the following videos from the module\u2019s lesson: <\/p>\n

\u25cf Association Rule Analysis (9:11)\n<\/p>\n

\u25cf Using Analytic Solver to Perform Association Rule Analysis (3\u201d41) <\/p>\n<\/p><\/div>\n

\n

BUA 6315: Business Analytics for Decision Making\n<\/p>\n

5\n<\/p>\n

1. When you select the data ignore User ID and select the data with labels. Do not forget to select\n<\/p>\n

\u201cFirst Row Contains Headers\u201d option. Generate association rules with a minimum support of 20\n<\/p>\n

and minimum confidence of 60%. How many rules are generated?\n<\/p>\n

2. Sort the rules by lift ratio. What is the top rule? Report and interpret the lift ratio of the top rule.\n<\/p>\n

Submission Guidelines:\n<\/p>\n

Your completed assignment must be submitted as a Microsoft Word document, 1-2 pages in length, double\n<\/p>\n

spacing, 12-point Times New Roman font, and 1-inch margins. The submission must be accompanied by\n<\/p>\n

three Microsoft Excel spreadsheets showing your work. Only the Word document will be assessed for\n<\/p>\n

grading purposes, however the case spreadsheets are required and must be submitted to show your work.\n<\/p>\n

Note: No tables or charts need to be included in your Word document for this assignment.\n<\/p>\n

\nNote About Grading:\n<\/p>\n

This assignment will be assessed based on the accuracy of your responses to each question in the\n<\/p>\n

worksheet. <\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

BUA 6315: Business Analytics for Decision Making 1 Overview: Module 6 Assignment Handout: Unsupervised Data Mining In this assignment, you will learn how to apply three unsupervised data mining techniques using country-level health and population measures data and social media usage patterns data. Prompt: For this assignment, you will analyze the three case studies below […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-132898","post","type-post","status-publish","format-standard","hentry","category-education"],"_links":{"self":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/132898","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/comments?post=132898"}],"version-history":[{"count":0,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/132898\/revisions"}],"wp:attachment":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/media?parent=132898"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/categories?post=132898"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/tags?post=132898"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}