Management Information Systems: Managing The Digital Firm (16th Edition)
Management Information Systems: Managing The Digital Firm (16th Edition)
16th Edition
ISBN: 9780135191798
Author: Kenneth C. Laudon, Jane P. Laudon
Publisher: PEARSON
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Chapter 7, Problem 16CSQ

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 Difference made in the company when dominating the Internet experience:

 For dominating the Internet experience, many companies like Google, Apple and Facebook competes with each other and the following difference to the industry or its consumers would be created.

  • The way of interaction of users with the internet and the user data in both computer and mobile will be controlled by the company...

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Problem 3: Naïve Bayes The goal is to build a Naive Bayes classifier to predict the class label based on these attributes. Here's the dataset: Age Income Education Temperature ID (Continuous) (Ordinal) (Nominal) (Continuous) Outcome 1 28 Medium Bachelor's 75.5 Yes 2 35 55 High Master's 68.2 No 3 40 Low High School 80.0 Yes 4 25 Medium PhD 72.8 No 5 6 8& 45 High Bachelor's 78.1 Yes 30 Medium High School 69.5 No 7 38 Low Master's 77.3 Yes 8 22 High PhD 74.9 No 9 33 10 42 37 Medium High School 70.4 No Low Bachelor's 76.7 Yes 1. Prior Probability: Calculate the prior probabilities of each class (Outcome: Yes and No). 2. Likelihood Calculation: Calculate the likelihood probabilities for the 'Age' attribute for both classes (Hint: compute P(Age/Yes) and P(Age/No)). 3. Ordinal Likelihood: For the 'Income' attribute (ordinal), calculate the likelihood probabilities for each class. 4 4. Nominal Likelihood: For the 'Education' attribute (nominal), calculate the likelihood probabilities for each…
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