FBISE, NCP & NBF-aligned resources for Classes 9–12
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Computer Chapter 4 : Topic 3.3
Predictive and Graph Analytics
1 / 7
A city administration wants to estimate the number of traffic accidents likely to occur at different road intersections next month using historical accident records and weather information. Which technique is most suitable for solving this problem effectively?
Reasoning: Predictive modeling uses past data to estimate future outcomes.
2 / 7
A social media company needs to identify groups of users who frequently communicate with each other so it can recommend new friends and improve user engagement. Which data analysis technique is most appropriate for this task?
Reasoning: Graph analytics studies relationships and connections between users.
3 / 7
A hospital wants to estimate whether patients are likely to return within thirty days after discharge by analyzing previous patient records and treatment history. Which approach best helps in making such predictions?
Reasoning: Predictive modeling forecasts future events using historical data.
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An online shopping website wants to discover how customers, products, and sellers are connected so it can recommend products based on relationships rather than only past purchases. Which technique should be used?
Reasoning: Graph analytics analyzes linked data and relationships between entities.
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A bank combines customer transaction history with account relationships to detect suspicious financial activities more effectively. Which combination of techniques provides the best solution for this problem?
Reasoning: Prediction identifies unusual behavior, while graph analytics finds suspicious connections.
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A school wants to predict students who may need additional academic support by analyzing attendance records, previous grades, and learning progress collected over several years. Which technique is most suitable?
Reasoning: Predictive modeling estimates future performance using existing data.
7 / 7
A delivery company wants to study the connections between warehouses, delivery routes, and customer locations to improve transportation efficiency and reduce travel time. Which technique is best suited for this analysis?
Reasoning: Graph analytics examines networks and relationships to optimize routes and connections.
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