Q5) Research based questions (Practical applications in real world)

a) Download the following article from the link provided below. Read that article and answer the following questions. This article provides a real life case study on creating and using a Bayesian network for road accident data analysis.

Ali Karimnezhad & Fahimeh Moradi (2017), Road accident data analysis using Bayesian networks, Transportation Letters, 9:1, 12-19,

DOI: 10.1080/19427867.2015.1131960

Web: https://www.tandfonline.com/doi/full/10.1080/19427867.2015.1131960

Note that you will be able to download this paper via Deakin library using your Deakin credentials (username and password).

(https://www.deakin.edu.au/library/help/add-browser-bookmarklet)

i) Describe the dataset used for their analysis. What are the variables used? Are the variables numerical or categorical or mixed? How many records of data have been used?

ii) What is the name of the algorithm used for learning the Bayesian network structure?

iii) What software tool have been used to build and visualize the Bayesian network? Provide a web link to that software.

iv) Read the section titled “Parameter learning in the road accident network” in that paper and extract the following probability values that they have computed, and mention them:

I. The probability of being injured while wearing seat belt and driving a car, knowing that the driver has a diploma degree and a type 2 driving license.

II. The probability of death while wearing seat belt and driving a car, knowing that the driver has a diploma degree and a type 2 driving license

III. The probability of being injured while not wearing the seatbelt, knowing that the driver has a diploma degree and a type 2 driving license

IV. The probability of death while not wearing the seatbelt, knowing that the driver has a diploma degree and a type 2 driving license

V. Based on the probability values obtained above, what conclusions are made?

b) Do a research (using journal or conference papers/publications) and describe ONE other real-world application of any Bayesian methods/Bayesian networks. Your description should include the following:

i) Briefly describe on your own words what the application is about.

ii) The details of the techniques used

Provide references for the applications/papers used. Description for this question Q5(b).