The LNCS journal Transactions on Computational Science reflects recent
developments in the field of Computational Science, conceiving the field
not as a mere ancillary science but rather as an innovative approach
supporting many other scientific disciplines. The journal focuses on
original high-quality research in the realm of computational science in
parallel and distributed environments, encompassing the facilitating
theoretical foundations and the applications of large-scale computations
and massive data processing. It addresses researchers and practitioners
in areas ranging from aerospace to biochemistry, from electronics to
geosciences, from mathematics to software architecture, presenting
verifiable computational methods, findings, and solutions, and enabling
industrial users to apply techniques of leading-edge, large-scale, high
performance computational methods.
This, the 34th issue of the Transactions on Computational Science,
contains seven in-depth papers focusing on research on data analytics
using machine learning and pattern recognition, with applications in
wireless networks, databases, and remotely sensed data.