N-dimentional data visualization for industrial power consumption

dc.contributor.authorSamaranayaka, JRACP
dc.contributor.authorWimalaratne, P
dc.contributor.editorWijesiriwardana, CP
dc.date.accessioned2022-12-05T05:52:21Z
dc.date.available2022-12-05T05:52:21Z
dc.date.issued2018
dc.description.abstractIn 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.en_US
dc.identifier.citationJ. 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.en_US
dc.identifier.conference3rd International Conference on Information Technology Research 2018en_US
dc.identifier.departmentInformation Technology Research Unit, Faculty of Information Technology, University of Moratuwa.en_US
dc.identifier.doidoi: 10.1109/ICITR.2018.8736132en_US
dc.identifier.facultyITen_US
dc.identifier.proceedingProceedings of the 3rdth International Conference in Information Technology Research 2018en_US
dc.identifier.proceedingProceedings of the 3rd International Conference in Information Technology Research 2018en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/19649
dc.identifier.year2018en_US
dc.language.isoenen_US
dc.publisherInformation Technology Research Unit, Faculty of Information Technology, University of Moratuwa, Sri Lankaen_US
dc.relation.urihttps://ieeexplore.ieee.org/document/8736132en_US
dc.subjectBig Dataen_US
dc.subjectMultidimensional dataen_US
dc.subjectVisualizationen_US
dc.subjectInteractivityen_US
dc.subject2D/3D displaysen_US
dc.subjectWeb baseen_US
dc.titleN-dimentional data visualization for industrial power consumptionen_US
dc.typeConference-Full-texten_US

Files

Collections