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What is Root Cause Analysis Using ML Techniques about?

This document discusses using text clustering and classification algorithms to analyze root causes of incidents in a steel plant. It presents a methodology that involves preprocessing incident narratives, clustering the text to extract root causes for each incident type, and classifying the narratives to predict primary causes. The methodology was tested on incident data from a steel plant. Text clustering identified hidden causal factors for each incident category, while classification algorithms like SVM

Author

Numan Ejaz

Language

EN