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IEEE/ICACT20250023 Slide.10        [Big Slide]       [YouTube]	Oral Presentation
	Before analyzing logs, cleaning and normalization are required to ensure data consistency: Removal of redundant or irrelevant data (low-importance logs). Normalization of date and time formats to align events on a coherent timeline. Encoding log levels (INFO, DEBUG, ERROR) into numerical values. Feature extraction such as event frequency and message length. Proper preprocessing improves data quality and algorithm performance.

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