A survey of data mining & its applications

Circular cross-sections of PTFE samples with different diameters are subject to a quasi-static torsion and a linear adjustment from their curves provides a way to calculate the

We solve a Riemann-Hilbert problem with almost periodic coefficient G, associated to a Toeplitz operator T G in a class which is closely connected to finite interval

[1] Using the new data mining techniques it can be discovered new patterns that offer new path analysis, new association rules, and new classification and clusters rules.. As we

The use of artificial intelligence through neural networks and genetic algorithms allows the efficient simulation of oat grain yield and better optimization of seeding density

The principal objectives are to (1) compile and describe the existing measures of ROI for social media marketing programmes, (2) find out the budget allocation to

Nevertheless, both Britain and Portugal hoped that their overseas territories might help to leverage their bargaining power in the setting-up of a free trade area in the context

The use of unsupervised artificial neural network techniques like the self-organizing map (SOM) algorithm has proven to be a useful tool in exploratory data analysis and clustering

We compare a fuzzy-inference method with two other computational intelligence methods, decision trees and neural networks, using a case study of land cover classification from