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Dataset (Type of attributes /features/variables/characteristics (Binary …
Dataset
Type of
attributes
/features/variables/characteristics
Binary
Observation that occur in one of two possible states,
often labelled zero and one.
Continuous
Variable that is not restricted to particular values
Categorical
Variable that contains values indicating membership in one of several possible categories (labels)
Nature
Real-world
Application oriented
Synthetic
Hybrid
Anomaly
Point
Simplest type of anomaly, focus on the majority
Contextual
The context is induced by the structure of the dataset
Contextual attributes
data type: spatial
attributes: lat/long
Spatial
Graph
Sequential
Time-series
Event
Inter-arrival time between
consecutive events is not regular
Profile
Often times the data might not have an explicit spatial or sequential structure, but can still be segmented or clustered into components using a set of contextual attributes.
Behavioral attributes
data type: spatial
context attributes: lat/long
behavioral attributes: amount of rain
Collective
With respect to the entire dataset
only if data instances are related
Labeling
Fully labeled
Normal and anomalous classe(s) labeled
Only normal classe(s) labeled
Unlabled
Implicit assumption that normal instances are far more frequent than anomalies
Number of
attributes
Univariate
Multivariate
all attributes must be the same type or mixture
Relationship ?