Machine Learning for Outlier Detection in R
A look into clustering to detect outliers in R. An extension on univariate statistical tests to include multivariate data.
2017-07-05
3,869 reads
A look into clustering to detect outliers in R. An extension on univariate statistical tests to include multivariate data.
2017-07-05
3,869 reads
What is normal? More to the point, what is abnormal? We will look at using R to score outliers in a typical monitoring dataset.
2017-06-19
4,070 reads
2017-06-14
999 reads
How do you currently set alerting thresholds? What is normal? And more importantly, what is truly abnormal? We will explore these questions.
2017-06-13
1,796 reads
2017-05-31
793 reads
2017-05-24
844 reads
2017-05-17
851 reads
2017-05-10
852 reads
2017-04-26
1,047 reads
2017-04-19
1,057 reads
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The DBCC CHECKIDENT command is used when working with identity values. I have a table with 10 rows in it that looks like this:
TravelLogID CityID StartDate EndDate 1 1 2025-01-11 2025-01-16 2 2 2025-01-11 2025-01-16 3 3 2025-01-11 2025-01-16 4 4 2025-01-11 2025-01-16 5 5 2025-01-11 2025-01-16 6 6 2025-01-11 2025-01-16 7 7 2025-01-11 2025-01-16 8 8 2025-01-11 2025-01-16 9 9 2025-01-11 2025-01-16 10 10 2025-01-11 2025-01-16The docs for DBCC CHECKIDENT say this if I run with only the table parameter: "If the current identity value for a table is less than the maximum identity value stored in the identity column, it is reset using the maximum value in the identity column. " I run this code:
DELETE dbo.TravelLog WHERE TravelLogID >= 9 GO DBCC CHECKIDENT(TravelLog, RESEED) GO INSERT dbo.TravelLog ( CityID, StartDate, EndDate ) VALUES (4, '2025-09-14', '2025-09-17') GOWhat is the identity value for the new row inserted by the insert statement above? See possible answers