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Detecting Anomalous Records in Categorical Datasets
Published on Sep 14, 20075363 Views
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are ’abnormal’. Quite often we have access to data wh
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Chapter list
Anomaly detection in Categorical Datasets00:03
Outline00:14
Problem Motivation00:32
Problem Overview (1)01:23
Problem Overview (2)02:40
Related Work (1) 02:59
Related Work (2)03:37
Outline04:41
Conditional Anomaly (1)04:44
Conditional Anomaly (2)05:34
Conditional Anomaly (3)05:53
Conditional Anomaly (4)06:13
Conditional Anomaly (5)06:47
Conditional Anomaly – Algorithm07:08
Estimating Probability Values (1)07:56
Estimating Probability Values (2) 08:45
Estimating Probability Values (3) 09:27
Outline09:48
Marginal Anomaly (1)10:00
Marginal Anomaly (2)10:49
Datasets (1)12:04
Datasets (2)12:19
Datasets (3)12:28
Results: PIERS Dataset (1)13:33
Results: PIERS Dataset (2)14:21
Datasets15:00
Results: KDD Cup 9915:27
Summary16:15
Thank You! 17:28