Mining and exploitation of data in social networks has been the focus of many efforts, but despite the resources and energy invested, still remains a lot for doing given its complexity, which requires the adoption of a ...

Recommender systems are designed to assist individuals to identify items of interest in a set of options. A context-aware recommender system makes recommendations by incorporating available contextual information into the ...

Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) ...

The quality of any text mining technique is highly dependent on the features that are used to represent the document collection. A classical form of document representation is the vector space model (VSM), according to ...

The quality of the material collected by a context-based Web search systems is highly dependant on the vocabulary used to generate the search queries. This paper proposes to apply a semi-supervised algorithm to incrementally ...

Today we have the opportunity without precedents to analyze human land use or mobility behavior in a city, country or even the globe. Some studies have analyzed existing data generated daily by mobile networks, mostly using ...

Minoxidil is a strong arterial vasodilator, first introduced as an antihypertensive medication. In dermatology, topical minoxidil (TMX) has been used for many types of alopecia. TMX is not FDA-approved in patients under ...

Citizen participation often faces challenges of transparency and accountability. Visualizations’s usability becomes key for public consultation activities. The tree map is frequently used to disseminate data and to give ...