Visual Analytics on Multidimensional Massive Data
Journal Title: Romanian Journal of Human - Computer Interaction - Year 2015, Vol 8, Issue 3
Abstract
The paper proposes visual analysis techniques as a solution to the scientific community concerned with developing performant algorithms for exploring and analyzing massive and multidimensional data. The actually high performance computation infrastructures such as cloud, grids, multicore, and clusters, are able more or less to cover the computation requirements for transformation, classification, and highlighting of significant data. Even so, the analytical capacity of these systems is still limited. Nevertheless the human brain has a much greater analytical and synthetic capacity. This paper presents the development and the experiments on the visual analyzing techniques in the domain of strategic games. The visual techniques of developing strategies for the tower defense games are exemplified and evaluated. The metrics for strategy evaluation and the experiments on interactive visual navigation techniques throughout the value space in order to support the convergence toward the optimum solutions are detailed. The visual analyzing techniques and the exemplified solutions could be of interest for players who wish to improve their performance and for strategic game developers as well.
Authors and Affiliations
Dorian Gorgan, Mircea Cătălin Cătană, Teodor Ştefănuţ
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