Outlier Analysis

1. An Introduction to Outlier Analysis
Charu C. Aggarwal

2. Probabilistic and Statistical Models for Outlier Detection
Charu C. Aggarwal

3. Linear Models for Outlier Detection
Charu C. Aggarwal

4. Proximity-Based Outlier Detection
Charu C. Aggarwal

5. High-Dimensional Outlier Detection: The Subspace Method
Charu C. Aggarwal

6. Supervised Outlier Detection
Charu C. Aggarwal

7. Outlier Detection in Categorical, Text and Mixed Attribute Data
Charu C. Aggarwal

8. Time Series and Multidimensional Streaming Outlier Detection
Charu C. Aggarwal

9. Outlier Detection in Discrete Sequences
Charu C. Aggarwal

10. Spatial Outlier Detection
Charu C. Aggarwal

11. Outlier Detection in Graphs and Networks
Charu C. Aggarwal

12. Applications of Outlier Analysis
Charu C. Aggarwal

Avainsanat: Computer Science, Data Mining and Knowledge Discovery, Artificial Intelligence (incl. Robotics), Statistics and Computing/Statistics Programs, Systems and Data Security, Database Management, Information Storage and Retrieval