Abstract Over the last two decades, significant advances have been made in design and analysis of fixed-parameter algorithms for a wide variety graph-theoretic problems. This has resulted an algorithmic toolbox that is by now well-established. However, these theoretical ideas received very little attention from practical perspective. We survey recent trends data reduction engineering results se...

Categorical data clustering constitutes an important part of data mining; its relevance has recently drawn attention from several researchers. As a step in data mining, however, clustering encounters the problem of large amount of data to be processed. This article offers a solution for categorical clustering algorithms when working with high volumes of data by means of a method that summarizes...

Smart grids are intelligent electrical networks that incorporate information and communication technology (ICT) to provide data services for the power grid. In this paper, ICT requirements monitoring control of neighbourhood area network level smart grid, with particular emphasis on making infrastructure energy efficient, analysed. One approach efficiency in system is develop a reduction algori...

Context . A microlensed hyperspectral imager (MiHI) is an integral field spectrograph based on a double-sided microlens array. Aims To convert the raw data frames of such instrument to cubes, and restore them high-resolution science-ready Stokes data, new kind reduction procedure required. Methods An optimized ad hoc transfer map MiHI prototype was used into form. The modified match position im...