Reduction in Treatment Times Through Formalized Data Feedback

Data reduction through early grouping

SQL queries containing GROUP BY and aggre-gation occur frequently in decision support applications. Grouping with aggregation is typically done by rst sorting the input and then performing the aggregation as part of the output phase of the sort. The most widely used external sorting algorithm is merge sort, consisting of a run formation phase followed by a (single) merge pass. The amount of dat...

Stepwise Multiple Testing as Formalized Data Snooping

It is common in econometric applications that several hypothesis tests are carried out at the same time. The problem then becomes how to decide which hypotheses to reject, accounting for the multitude of tests. This paper suggests a stepwise multiple testing procedure which asymptotically controls the familywise error rate at a desired level. Compared to related singlestep methods, the procedur...

Data Reduction and Noise Filtering for Predicting Times Series

In this paper we introduce a modification of the real discrete Fourier transform and its inverse transform to filter noise and perform reduction on the data whilst preserving the trend of global moving of time series. The transformed data is still in the same time domain as the original data, and can therefore be directly used by any other mining algorithms. We also present a classification alg...

Stewise Multiple Testing as Formalized Data Snooping

It is common in econometric applications that several hypothesis tests are carried out at the same time. The problem then becomes how to decide which hypotheses to reject, accounting for the multitude of tests. In this paper, we suggest a stepwise multiple testing procedure which asymptotically controls the familywise error rate at a desired level. Compared to related single-step methods, our p...

Data Reduction Through Increased Data Utilization in Chemical Dynamics Simulations