Fraud detection
Purchasing behavior of a credit card owner usually changes when the card is stolen.
Abnormal buying patterns can characterize credit card abuse
Medicine
Unusual symptoms or test results may indicate potential health problems of a patient
Whether a particular test result is abnormal may depend on other characteristics of the patients (e.g. gender, age …)
Public health
The occurrence of a particular disease, e.g. tetanus, scattered across various hospitals of a city indicate problems with the corresponding vaccination program in that city.
Whether an occurrence is abnormal depends on different aspects like frequency, spatial correlation, etc.
Sports statistics
In many sports, various parameters are recorded for players in order to evaluate the players’ performances
Outstanding (in a positive as well as a negative sense) players may be identified as having abnormal parameter values
Sometimes, players show abnormal values only on a subset or a special combination of the recorded parameters
Detecting measurement errors
Data derived from sensors (e.g. in a given scientific experiment) may contain measurement errors
Abnormal values could provide an indication of a measurement error
Removing such errors can be important in other data mining and data analysis tasks
“One person‘s noise could be another person‘s signal.”
Purchasing behavior of a credit card owner usually changes when the card is stolen.
Abnormal buying patterns can characterize credit card abuse
Medicine
Unusual symptoms or test results may indicate potential health problems of a patient
Whether a particular test result is abnormal may depend on other characteristics of the patients (e.g. gender, age …)
Public health
The occurrence of a particular disease, e.g. tetanus, scattered across various hospitals of a city indicate problems with the corresponding vaccination program in that city.
Whether an occurrence is abnormal depends on different aspects like frequency, spatial correlation, etc.
Sports statistics
In many sports, various parameters are recorded for players in order to evaluate the players’ performances
Outstanding (in a positive as well as a negative sense) players may be identified as having abnormal parameter values
Sometimes, players show abnormal values only on a subset or a special combination of the recorded parameters
Detecting measurement errors
Data derived from sensors (e.g. in a given scientific experiment) may contain measurement errors
Abnormal values could provide an indication of a measurement error
Removing such errors can be important in other data mining and data analysis tasks
“One person‘s noise could be another person‘s signal.”
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