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Data Mining Anomaly Detection

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Reference no: EM133050362

Data Mining "Anomaly Detection"Assignment

Question 1. What are Anomalies/Outliers? And what are some variants of Anomaly/Outlier Detection Problems?

Question 2. What are some Challenges and Work Assumptions of Anomaly Detection?

Question 3. Explain the Nearest-Neighbor Based Approach and the different ways to Define Outliers.

Question 4. Explain the Density-based: LOF Approach.

Question 5. Provide the General Steps and Types of Anomaly Detection Schemes.

Reference no: EM133050362

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