Forbes recently announced billionaires of 2023. The data set looks like this:
Name NetWorth Country Age Residence Citizenship Status Children Education Self made
Jeff Bezos 177 United Stat 57 Seattle, Washin United States in Relationsh 4 Bachelor of Arts/ TRUE
Elon Musk 151 United Stat 49 Austin, Texas United States in Relationsh 7 Bachelor of Arts/ TRUE
Bernard Arna 150 France 72 Paris, France France Married 5 Bachelor of Arts/ FALSE
Bill Gates 124 United Stat 65 Medina, Washir United States Divorced 3 Drop Out, Harvar TRUE
Mark Zuckerb 97 United Stat 36 Palo Alto, Califc United States Married 2 Drop Out, Harvar TRUE
Warren Buffe 96 United Stat 90 Omaha, Nebras United States Widowed, Re 3 Master of Scienc TRUE
Larry Ellison 93 United Stat 76 Lanai, Hawaii United States In Relationsh 4 Drop Out, Univer TRUE
Larry Page 91.5 United Stat 48 Palo Alto, Califc United States Married 1 Master of Scienc TRUE
Sergey Brin 89 United Stat 47 Los Altos, Califc United States Married 3 Master of Scienc TRUE
Mukesh Ambi 84.5 India 64 Mumbai, India India Married 3 Drop Out, Stanfo FALSE
Amancio Orte 77 Spain 85 La Coruna, Spali Spain Married 3 TRUE
Francoise Bet 73.6 France 67 Paris, France France Married 2 FALSE
Zhong Shansh 68.9 China 66 Hangzhou, Chin China Married 3 Bachelor of Arts/ TRUE
Steve Ballmer 68.7 United Stat 65 Hunts Point, Wi United States Married 3 Bachelor of Arts/ TRUE
Ma Huateng 65.8 China 49 Shenzhen, Chin Cina Married Bachelor of Arts/ TRUE
Carlos Slim He 62.8 Mexico 81 Mexico City, Mexico Widowed 6 Bachelor of Arts/ TRUE
Alice Walton 61.8 United Stat 71 Fort Worth, Tex Uilted States Divorced Bachelor of Arts/ FALSE
Jim Walton 60.2 United Stat 72 Bentonville, Ari United States Married 4 Bachelor of Arts/ FALSE
Rob Walton 59.5 United Stat 76 Bentonville, Ari United States Married 3 Doctor of Jurispri FALSE
Michael Bloor 59 United Stat 79 New York, New United States In Relationsh 2 Master of Busine TRUE
Colin Zheng H 55.3 China 41 Shanghai, China China Master, Universit TRUE
Mackenzie Sc 53 United Stat 51 Seattle, Washin United States Married 4 Bachelor of Arts/ FALSE
Daniel Gilber 51.9 United Stat 59 Franklin, Michig United States Married 5 Bachelor of Arts/ TRUE
Gautam Adan 50.5 India 58 Ahmedabad, Ini India Married 2 TRUE
Phil Knight & 49.9 United Stat 83 Hillsboro, Oreg United States Married 3 Master of Busine TRUE
Jack Ma 48.4 China 56 Hangzhou, Chin China Married Bachelor of Arts/ TRUE
Charles Koch 46.4 United Stat 85 Wichita, Kansas United States Married 2 Bachelor of Arts/ FALSE
Julia Koch & f 46.4 United Stat 59 New York, New United States Widowed 3 FALSE
Masayoshi So 45.4 Japan 63 Tokyo, Japan Japan Married 2 Bachelor of Arts/ TRUE
This is an open-ended question. Please
➤ Formulate a problem — it can be supervised, i.e., predicting something, or unsupervised,
i.e., analyzing or discovering some patterns in the data. Be clear about what you are
looking for, phrase your research question clearly.
➤ Given the problem statement, provide a solution. You need to:
a. List the attributes you need for your task
b. Name the data mining algorithm you will use
c. If you are running association rules, state what type of association you are
looking for, and state the support and confidence you are planning to use. Justify
your parameters.
d. If you plan to use clustering, explain what type of cluster you are trying to form,
and the type of clustering algorithms you plan to use,
e. If you are running prediction, define the label. Explain which algorithm you will
be using, and any parameters you might consider tuning. Do you plan to use
precision or recall as your measure? Why?