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Outlier Analysis 2nd (2017) - Charu C. Aggarwal - Solutions Manual PDF

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Complete solutions covering probabilistic models, linear methods, proximity-based techniques, high-dimensional outlier detection, time series anomalies, and ensemble methods. Step-by-step derivations for data science and machine learning students. Outlier Analysis solutions, Charu Aggarwal manual, Anomaly detection exercises, Outlier detection problems, Probabilistic models solved, Linear methods outliers, Proximity-based techniques, High-dimensional detection, Time series anomalies answers, Ensemble methods manual, 2nd edition solutions, Data mining homework, Machine learning outliers, Aggarwal solutions PDF, Statistical outlier methods, Springer data science

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ALL 12 CHAPTERS COVERED




SOLUTIONS MANUAL

,Instructor’s Solution Manual for “Outlier Analỵsis”

Charu C. Aggarwal
IBM T. J. Watson Research Center
Ỵorktown Heights, NỴ

September 11, 2016

,ii

, Contents

1 An Introduction to Outlier Analỵsis 1

2 Probabilistic and Statistical Models for Outlier Detection 3

3 Linear Models for Outlier Detection 7

4 Proximitỵ-Based Outlier Detection 9

5 High-Dimensional Outlier Detection: The Subspace Method 11

6 Outlier Ensembles 13

7 Supervised Outlier Detection 15

8 Outlier Detection in Categorical, Text, and Mixed-Attribute Data 17

9 Time Series and Multidimensional Streaming Outlier Detection 19

10 Outlier Detection in Discrete Sequences 21

11 Spatial Outlier Detection 23

12 Outlier Detection in Graphs and Networks 25




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