Question
A bank notices unusual activity in a customer’s
account, such as multiple large withdrawals in a short period. What is the most appropriate technique to detect fraud in such cases?Solution
Anomaly detection identifies data points that deviate significantly from the norm. In fraud detection, it flags unusual transactions, such as large withdrawals or geographically improbable activity, for further investigation. Techniques like isolation forests or Z-scores are commonly used. Option A : Logistic regression predicts binary outcomes but isn’t specialized for anomalies. Option C : Clustering groups similar data but doesn’t detect deviations effectively. Option D : Decision trees classify data but are not optimal for real-time anomaly detection. Option E : A/B testing is unrelated to fraud detection.
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An effective method to prevent nematode infestation when it is not yet present in the area?
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An organized educational activity for involving and educating farmers by bringing together the farmers, scientists, extension workers, input agencies, d...
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Size of ordinary rain drop varies from:
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