In many research areas, such as computer vision, image processing, pattern recognition,
or systems identification, the segmentation of heterogeneous high-dimensional data sets is
one of the most common and important tasks. Based on the subspace clustering approach,
the Generalized Principal…

New applications based on wireless sensor networks (WSN), harvest a large
amount of data streams that are simultaneously generated by multiple distributed
sources. Specifically, in a WSN this paradigm of data generation/transmission is
known as event-streaming. In order to be…

In clustering, providing an explanation of the results is an important task.
Pattern-based clustering algorithms provide, in addition to the list of objects
belonging to each cluster, an explanation of the results in terms of a set of
patterns that…

Bilinear pairings over elliptic curves are an emerging research field in cryptography. First cryptographic protocols based on bilinear pairings were proposed by the year 2000 and currently they are not standardized. The computation of bilinear pairings relies on arithmetic over…

Sparse Wireless Sensor Networks (SWSN) have been proposed to explore and gather data
from harsh environments. Exploration has been focused on finding optimal paths to obtain knowledge
about the environment while data gathering has mainly been oriented to obtain raw…

Frequent graph pattern mining is an important problem in diverse research fields
but, until recently, algorithms that focus on the problem had only used graph
isomorphism to identify occurrences of a given pattern. In the last years, however,
a few…