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## Implementation Code
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The experiment workflow is controlled via the Makefile. The input and output of each step can be referred to the Makefile
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- `run_selecting_features.py`: Feature selection
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- `run_anomaly_detection_invo.py`: Anomaly detection based on the useful features
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- `run_localization_association_rule_mining_20210516.py`: Root-cause service ocalization
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The experiment workflow is controlled via the Makefile. The input and output of each step can be referred to the Makefile
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- `prepare_train_file_tmp.py` is used to split the dataset into train and test datasets. Note that this step is not included in the Makefile.
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[Presentation Video](https://www.bilibili.com/video/BV14b4y1C7rQ/)

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