The development in science and technical intelligence has incited to represent an extensive
amount ofdata from various fields of agriculture. Therefore an objective rises up for the …

Customer satisfaction is an important indicator of user preferences for products which
directly influence customers' purchase intentions. It is also an essential Kansei factor for …

With the rapid development of information technology and globalization of economy,
financial data are being generated and collected at an unprecedented rate. Consequently …

A novel method namely, the reductive most-least method is developed to optimise the
bottleneck integer transportation problem, which is different from the existing methods. It is a …

As a very common and classic big data (BD) mining algorithm, the association rule data
mining (DM) algorithm is often used to determine the internal correlation between different …

The study concerns the quantitative evaluation of a satellite-based rain rate (RR) estimation
algorithm using measurements from a network of ground-based meteorological stations …

Association rule methods are among the most used approaches for Knowledge Discovery in
Databases (KDD), as they allow discovering and extracting hidden meaningful relationships …

The present study was a first attempt to quantitatively evaluate an existing satellite-based
rain estimation algorithm using measurements from a network of ground-based …

Le satellite Météosat Seconde Génération (MSG) transmet des images de l'observation de
la terre toutes les quinze minutes dans douze bandes spectrales différentes. Il nous permet …

Passenger train occupation rate directly affects Railway Company's revenue and capacity
utilization of railway infrastructure, and measures to improve passenger train occupation rate …