Anomaly detection: Difference between revisions

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* All values is event or odd
* All values is event or odd
* The values are the same even the column is totally different
* The values are the same even the column is totally different
* For consumer data
** Season issue: consumption data of coat (大衣) and cold weather (winter 冬天)
** Holiday issue: consumption data of special holiday e.g. Mid-Autumn Festival / Moon Festival


== Anomaly detection of categorical data (qualitative variable) ==
== Anomaly detection of categorical data (qualitative variable) ==
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* Dramatically Increase or decrease of rows count for each time period
* Dramatically Increase or decrease of rows count for each time period


== Anomaly detection for stirng data ==
== Anomaly detection for consumer data ==
* For consumer data
** Season issue: consumption data of coat (大衣) and cold weather (winter 冬天)
** Holiday issue: consumption data of special holiday e.g. Mid-Autumn Festival / Moon Festival
 
== Anomaly detection for string data ==


* created time of the text message
* created time of the text message
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