University | Singapore University of Social Science (SUSS) |
Subject | ANL303: Fundamentals of Data Mining |
Question 1
Globally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations.
(a) Traffic crash analysis can be used to analyse crash data with an objective to reduce crash fatalities and improve road safety.
(i) Give one (1) example of how descriptive data mining can be used to achieve the stated objective.
(ii) Give one (1) example of how predictive data mining can be used to achieve the stated objective.
(b) Assume that a dataset is collected for traffic crash analysis. The dataset contains data on severe traffic crashes between 2015 and 2019 in Australia. The description of the dataset is listed in Table 1.
Suggest two (2) additional variables that can be included in traffic crash analysis. Explain the rationale of their inclusion.
(c) Assume that there are two interesting findings obtained from traffic crash analysis:
- An experienced driver was likely to induce a severe crash on highways even though there were adequate safety facilities.
- The majority of severe crashes occurring in the southwest Australia region were single-vehicle crashes rolling down from a hill.
Give one (1) potential explanation of each finding. Then, propose one (1) solution for improving road safety based on each finding.
(d) Assume that your proposed solutions stated in part (c) have been implemented. Discuss how you are going to evaluate the effectiveness of the solutions.
(e) Identify one (1) limitation of traffic crash analysis using the dataset stated in Table 1 and propose one (1) way to address the limitation. (Note: The limitation should not be about the lack of variables as stated in part (b).)
Buy Custom Answer of This Assessment & Raise Your Grades
If you are looking for online assignment writing guidance in ANL303: Fundamentals of Data Mining Assignment? then you have come to the best place. At Singapore Assignment Help we provide diligent experts who understand your TMA project requirement. Also, our experts are always ready to offer trustworthy help on data management assignments at a discounted price.
Looking for Plagiarism free Answers for your college/ university Assignments.
- ECE210 Advocacy and Collaborations with Families Assignment: Supporting Young Children Through Grief and Family-Centered Partnerships
- ACC707 Accounting and Finance Assignment: Evaluating Investment Decisions, Budgeting Strategies, and Financial Performance Analysis
- NCO201 Learn to Learn, Learn for Life TMA-01: Developing Self-Directed Learning Through the Journey of Mastering Public Speaking
- PSS219 Public Safety and Security in Singapore Group-Based Assignment: Strengthening National Resilience Through Policy Responses from the 2025 Committee of Supply Debate
- MTH240 Engineering Mathematics I Assignment: Heat Transfer, Chemical Balancing, Circuit Analysis, Signal Processing, and Matrix Theory
- Engaging Youth with IBM Skills Build Assignment: Designing Innovative Strategies for Skill Development and Career Growth
- BUS368 Innovation Management and Digital Transformation Assignment: Managing Innovation in Foldable, Trifold, and Stretchable Display Technologies
- BUS366 Assignment: Process Improvement and Recruitment Optimization Using Lean Six Sigma Methodology
- HBC203 Statistics and Data Analysis for the Social and Behavioural Sciences TMA-01: A Comparative Analysis of Workplace Wellbeing Interventions and Their Impact on Employee Productivity
- BCAF003 Business Accounting Assignment: A Comprehensive Study on Bank Reconciliation, Cash Controls, Inventory Valuation, and Financial Analysis