Abstract:
In the modern world, organizations will generate
various types of data as a result of their day today activities.
Collecting the data itself will not enough to take strategic
advantage over them. Improved analytical techniques or
applications will lead to take the maximum out of collected data
over the competitor in the field. In our novel concept, knowledge
of one variable will not simply depend on one or two independent
variables; we have selected the dimensionality of the data as the
most interesting parameter. Prototype of our novel concept is a
web based approach which facilitates remotely conducting data
visualization through a web browser without requiring any
additional installations or plugins in the client side. One of the
main features of our concept is less navigations/interactions
which lead to minimize memorizing to mine interested patterns
over data. Prototype of our concept shows increased usability for
commonly all users over 2D visualizing techniques.
Citation:
J. R. A. C. P. Samaranayaka and W. Prasad, "N-Dimentional Data Visualization for Industrial Power Consumption," 2018 3rd International Conference on Information Technology Research (ICITR), 2018, pp. 1-6, doi: 10.1109/ICITR.2018.8736132.