Sentence examples for techniques with data from inspiring English sources

The Hazy project is exploring integrating statistical processing techniques with data processing systems with the goal of making such systems easier to build, to deploy, and to maintain.

The integration of data mining techniques with data warehousing is gaining popularity due to the fact that both disciplines complement each other in extracting knowledge from large datasets.

In the second part of the paper we discuss some recent research that combining some of the hybrid techniques with data analysis methods in order to synthesise a more consistent means of predicting mesoscale coastal morphological evolution.

In [14] it is developed a method for extracting useful knowledge from individual purchase history of customers by combining information fusion techniques with data mining to predict whether a customer switches from one brand to another, or becomes loyal to a brand, and when a customer is likely to defect to a competitor.

Thus, despite the success of these previous studies, the development of more advanced quantitative techniques with data reproducibility is necessary.

Here, we couple this dimension reduction technique with data clustering algorithms that are specially designed for high dimensional cases.

This paper integrates proof of storage technique with data dynamics support into cryptographic storage design to provide full integrity for outsourced data.

The clustering technique with data aggregation on cluster heads has an influence on the overall performance of the network since it is favoring a maximum network lifetime.

The present work involves quantification of properties by: (i) classical curve fitting technique with data obtained from single factor experiments; and (ii) forming regression equations from 22 factorial design of experiments.

The velocity dip position model proposed in this study has been fitted by asymptotic matching technique with data obtained from a wide range of aspect ratios for open channels of both smooth and rough bed surfaces.

In order to study efficiency, we applied DEA, a non-parametric full frontier method based on linear programming technique with data from two consecutive years.