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"Applying Anomaly detection operators to categorical dataset"

cazzi123cazzi123 Member Posts: 3 Contributor I
edited June 2019 in Help
Hi,

I am trying to apply the anomaly detection operators to categorical datasets. The only preprocessing that I am doing to dataset is removing missing attributes and duplicates. Should I convert the categorical attributes to numerical before I apply the anomaly detection operators or should they be left as they are?

I am attempting to determine if there is an impact on classification results when outlier are removed.

Please let me know your opinion on this.

Thanks,
C/

Answers

  • frasfras Member Posts: 93 Contributor II
    There are 14 operators dealing with Anomaly Detection...
    But in general: It depends on the measure type. If you choose "Nominal Measures" only nominal attributes are used.
    You have to play around. Happy mining !
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