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Method: The data came from the first wave of a longitudinal study on changes in alcohol consumption.
In this method the data set is divided into a number of sections and each section is correlated separately.
In the proposed method, the data processing algorithm is developed to integrate the measurements of all segments for identifying the entire structure's flexibility matrix.
For validation of this method, the data of airborne campaign carried out by BKG in cooperation with GFZ and BGR 2008 in the northern Alps are used.
Then, by making in use of bunching method, the data is analyzed and prompt neutron decay constant of the system is estimated for each neutron detector positioned in the core.
In the data weighting method, the data sets belonging to each class within the dataset are first calculated by using k-means clustering method, after which the measures of central tendency belonging to each class are calculated, as well.
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To examine the effectiveness of the DoDE optimization method, the data-driven optimum temperature profile is compared to the optimum temperature profile obtained using a model-based optimization technique for the potassium nitrate water batch crystallization model developed by Miller and Rawlings [2].
In typical algorithmic packet classification methods, the data structure is tailored for the given ruleset.
Patients and methods The data were retrospectively analyzed and collected from the register of the "TRENAU".
Prior to the application of all chemometric methods the data were mean centred.
In proactive methods, the data about each user-browser action is collected during the actual session.
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