Abstract The link-prediction of complex networks is a new method network structure mining, which different from the traditional methods based on machine learning. It reveals those existing relations and predicts possible ones, by using similarity index structure. This paper studied topology railway link-prediction. dataset was firstly obtained sampling pre-processing. Its degree obeys power-law...

The rapid decline of groundwater levels (GWL) due to pervasive abstraction in the densely populated (~1 billion) Indus-Ganges-Brahmaputra-Meghna (IGBM) transboundary river basins South Asia, necessitates a robust framework prediction and understanding. While few localized studies exist, three-dimensional regional-scale characterization GWL is yet be implemented. Here, ‘support vector machine’, ...

This paper presents a prediction algorithm for estimating the upper bound of future Web traffic volume. Unlike traditional traffic predictions that are performed at a single time scale using curve fitting, we employ a multiple time scale approach and utilize traffic statistical properties to do forecasting. We have applied our prediction algorithm to the 1998 World Cup data set. Experiments sho...