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[G1-Sync] Manual knowledge update

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Antigravity Agent
2026-04-30 22:42:02 +09:00
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10_Wiki/Topics/Data Cleaning Algorithms.md
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---
id: P-REINFORCE-AUTO-DCAL-001
id: [[P-Reinforce]]-AUTO-DCAL-001
category: "10_Wiki/💡 Topics/AI"
confidence_score: 0.92
tags: [auto-reinforced, data-cleaning, data-preprocessing, algorithms, outliers, duplicate-detection]
tags: [auto-reinforced, data-cleaning, data-pre[[Processing]], algorithms, outliers, duplicate-detection]
last_reinforced: 2026-04-20
---
@@ -16,7 +16,7 @@ last_reinforced: 2026-04-20
1. **주요 태스크 및 알고리즘**:
* **Missing Value Imputation**: 평균, 최빈값 혹은 KNN/회귀 모델을 이용해 비어있는 값 채우기.
* **Outlier Detection**: Z-Score, Isolation Forest 등을 이용해 정상 범위를 크게 벗어난 이상치 제거. (Anomaly-Detection과 연결)
* **Outlier Detection**: Z-Score, Isolation Forest 등을 이용해 정상 범위를 크게 벗어난 이상치 제거. ([[Anomaly-Detection]]과 연결)
* **Deduplication (중복 제거)**: 해시 매칭이나 편집 거리(Levenshtein Distance)를 이용해 겹치는 데이터 제거.
* **Standardization**: 단위나 형식을 통일 (예: 날짜 포맷 통일).
2. **왜 중요한가?**: