Plum Tree Algorithm and Weighted Aggregated Ensembles for Energy Efficiency Estimation

An iterative approach for estimation of efficiency by weighted distance

Energy Efficiency Analysis of the Very Fast Decision Tree Algorithm

Data mining algorithms are usually designed to optimize a trade-off between predictive accuracy and computational efficiency. This paper introduces energy consumption and energy efficiency as important factors to consider during data mining algorithm analysis and evaluation. We conducted an experiment to illustrate how energy consumption and accuracy are affected when varying the parameters of ...

an iterative approach for estimation of efficiency by weighted distance

Efficiency properties of weighted mixed regression estimation

This paper considers the estimation of the coe cient vector in a linear regression model subject to a set of stochastic linear restrictions binding the regression coe cients and presents the method of weighted mixed regression estimation which permits to assign possibly unequal weights to the prior information in relation to the sample information E ciency properties of this estimation procedur...

Techniques for Weighted Clustering Ensembles

INTRODUCTION In an effort to achieve improved classifier accuracy, extensive research has been conducted in classifier ensembles. Very recently, cluster ensembles have emerged. It is well known that off-the-shelf clustering methods may discover different structures in a given set of data. This is because each clustering algorithm has its own bias resulting from the optimization of different cri...