Mining Large Data Sets - Motivation

Today the availability of large databases of company’s economic and financial data makes possible the use of artificial intelligence methods to process large or very large sets of

This work is focused on trends extraction, similar to [3] where Data Mining techniques are applied to extract information of users from electronic commerce.. This information is

• An example of how tabular data can be published as linked data using Open Refine;.. •The expected benefits of linked data

Linked data, enterprise data, data models, big data streams, neural networks, data infrastructures, deep learning, data mining, web of data, signal processing, smart cities,

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 variable activity contains the activity name, complete indicates how much the student has completed the activity, variable grade stores the activity mark of the student, action

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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,