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Please answer the three multiple choice questions below\" Which of the following

ID: 3693422 • Letter: P

Question

Please answer the three multiple choice questions below"

Which of the following statements is INCORRECT regarding Grubbs' Test in anomaly detection? It works for data of any statistical distributions. It is based on statistical test of hypothesis. If there is only one outlier data point in the data, the algorithm should still work. The algorithm finds outlier points one by one. Which of the following statements is true? A negative item means its value does not exist in a particular transaction. Support for negative patterns will increase monotonically with additional data points. Negative patterns are infrequent patterns. None of the above. Which of the following statements regarding clustering and anomaly detection is INCORRECT? Sometimes we can apply anomaly detection first before running a clustering algorithm and get better clustering result. The result of clustering can shed light into finding anomalies. Both clustering and anomaly detection typically have no training data to begin with. If some data is hard to cluster, then it must be hard to find anomalies in it.

Explanation / Answer

Ans;

18) A. it works for data of any statistical distributions

19) A. a negative item means its value does not exist in a particular transaction

20) D. if some data is hard to cluster then it must be hard to find anomalies in it