Automatic classification of oranges using image processing and data mining techniques

This work shows the practical utility on the combination of those Data Mining techniques with Complex Network methods, to automatically discover knowledge and collective trends

And finally, using these results on evolving data streams mining and closed frequent tree mining, we present high performance algorithms for mining closed unlabeled rooted

The aim of this study is to analyse the factors related to the use of addictive substances in adolescence using association rules, descriptive tools included in Data Mining.. Thus,

Forensic examiners compare different parts of the face image obtained from a closed-circuit television (CCTV) image with a database of mug shots or good quality image(s) taken from

The programming language most widely used in data mining is Python, primarily because of its ver- satility and the number of libraries that are available for data processing,

In this paper we present an enhancement on the use of cellular automata as a technique for the classification in data mining with higher or the same performance and more

tutorials for (i) normalization using DNMAD, (ii) data pre- processing using the Preprocessor tool, (iii) data clustering using the different algorithms available (UPGMA, SOM,

First, we try to obtain very good accu- racy in the classification using a very small challenge dataset, second, we use different combination of data augmentation with the aim to