Adapting autonomously classification data mining algorithms for ubiquitous devices

The paper shows how traditional Data Mining techniques such as clustering methods can be used to analyse the be- haviour shown by avatars during their stay in the VW.. The

As in many genome-scale methodologies data analysis and, in particular, the biological interpretation of the results constitutes a well-known bottleneck. Specific problems related

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

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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,

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,

The incomplete information might be due to the size of interaction data, since 300 instances (24 students) was not sufficient for applying data mining methods in