Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection

This repository contains the replication package for the paper "Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection". "Discover-Data-Quality-With-RIOLU-Main" Folder structure: ├── ablation_study ├── 20_subsampling.py ├── no_selection.py ├── static_rEM_1.py ├── static_rcov_95.py ├── static_selection_threshold.py └── readme.md├── ground_truth_anomaly_detection (Data ground truths)├── images ├── java_repo_exploration ├── java_names ├── java_naming_anomalies └── readme.md├── sensitivity_analysis ├── Auto_RIOLU_alt_inircov.py ├── Auto_RIOLU_alt_nsubset.py └── readme.md├── test_anomaly_detection ├── chatgpt_sampled (Data sampled for ChatGPT & the extracted regexes) ├── flights ├── hosp_1k ├── hosp_10k ├── hosp_100k ├── movies └── readme.md├── test_data_profiling ├── hetero ├── homo.simple ├── homo ├── GPT_responses.csv (ChatGPT profiling responses & the extracted regexes) └── readme.md├── Auto-RIOLU.py (Auto-RIOLU for anomaly detection)├── Guided-RIOLU.py (Guided-RIOLU for anomaly detection)├── pattern_generator.py├── pattern_selector.py├── pattern_summarizer.py├── test_profiling.py (RIOLU for data profiling)├── utils.py├── LICENSE└── readme.md