Visual Analytics for Open Source Intelligence
Article Sidebar
Main Article Content
Abstract
Enhanced data visualisation technologies can contribute decisively to companies that rely on making sense of a great amount of information as their primary business objective. Graphical techniques often employed to present processed information and findings to the final customer, such as charts and scatter plots, could be improved and customized to aid analysts during the investigation phase. After examining the internal analysis tasks and data storage strategy from a security consultancy company, this work suggests an approach to enhance knowledge extraction, insight generation and hypothesis testing by applying novel techniques of interactive data visualisation and mining.
Article Details
The journal has exclusive rights over the first publication, printed and/or digital, of this academic text, which does not affect the copyright of the person responsible for the research.
The reproduction (in whole or in part) of the published material depends on the express mention of this journal as the origin, by citing the volume, edition number and the DOI link for cross-reference. For rights purposes, the original publication source must be recorded.
The use of the results published here in other vehicles of scientific divulgation, even if by the authors, depends on the express indication of this journal as a means of original publication, under penalty of characterizing a situation of self-plagiarism.
____________________________________________
Additional information and author statements
(scientific integrity)
Declaration of conflict of interest: The author(s) confirm that there are no conflicts of interest in conducting this research and writing this article.
Authorship statement: All and only researchers who meet the authorship requirements for this article are listed as authors; all co-authors are fully responsible for this work in its entirety.
Declaration of originality: The author(s) guarantee that the text published here has not been previously published elsewhere and that future republication will only be made with express reference to the original place of publication; also certifies that there is no plagiarism of third-party material or self-plagiarism.
____________________________________________
Archiving and distribution
The final published PDF can be archived, without restrictions, on any open access server, indexer, repository or personal page, such as Academia.edu and ResearchGate.