Research consistently links adolescents' and young adults' drinking with their peers' alcohol
intake. In interpreting this correlation, 2 essential questions are often overlooked. First, which …

Acoustic Emission technique is gaining more and more appreciation in the field of structural
health monitoring for reinforced concrete structures. Noise removal and suppression still …

The success of categorical data clustering generally much relies on the distance metric that
measures the dissimilarity degree between two objects. However, most of the existing …

Heterogeneous attribute data composed of attributes with different types of values are quite
common in a variety of real-world applications. As data annotation is usually expensive …

Data set composed of categorical features is very common in big data analysis tasks. Since
categorical features are usually with a limited number of qualitative possible values, the …

Network-based similarity measures have found wide applications in recommendation
algorithms and made significant contributions for uncovering users' potential interests …

Non-hierarchical clustering methods are frequently based on the idea of forming groups
around 'objects'. The main exponent of this class of methods is the k-means method, where …

This thesis studies the formation of a novel expert role—the data scientist—in order to ask
how arcane knowledge becomes publicly salient. This question responds to the two-sided …

Clustering is one of the most commonly used techniques for unsupervised data analysis. As
real data sets are usually composed of numerical and categorical features that are …

A Higher Education degree is composed by courses which can be organized in areas or
modules. Over last years, time invested by students to complete Higher Education degrees …