Titlebook: Digital Information Processing and Communications; International Confer Vaclav Snasel,Jan Platos,Eyas El-Qawasmeh Conference proceedings 20

intuition

擔憂

Traffic Profiling in Mobile Networks Using Machine Learning Techniques demonstrate how this can be done through clustering of vast amounts of network monitoring data, and show how discovered clusters can be used to mathematically model the PS traffic. We also demonstrate accuracy of the models obtained using this methodology. This problem is important for accurate dim

脫落

A Deterministic Approach to Association Rule Mining without Attribute Discretizationning proper intervals. But the type and parameters of the discretization can affect notably the quality of the rules generated. This work presents a method based on a deterministic exploration of the interval search space, with no use of a previous discretization but the dynamic generation of interv

Infraction

萬花筒

河潭

View from Inside One Neuronological systems work. New areas of neural computing are trying to make at least one step beyond what digital computing means. The key point is based on learning rather than programming. We designed a mathematical model for information processing. The neuron model is viewed from inside as a feedback

discord

HPA533

A Bee Colony Task Scheduling Algorithm in Computational Gridsts is an NP-complete problem. Therefore, using heuristic approaches to solve the scheduling problem is a very common and also acceptable method in these environments. In this paper, a new task scheduling algorithm based on bee colony optimization approach is proposed. The algorithm uses artificial b

煤渣

Genetics