City Research Online

Abstract

The main aim of the research is to develop visual designs and frameworks for digital communication data within an investigation domain (i.e E-discovery) to address immediate challenges, support investigative tasks and find information in data to support legal evidence. This will enable analysts to compare time-frames, individuals and groups of data objects from multiple perspectives, identify relevant subsets of data and find anomalous communication behavior. In this research, we will be developing techniques and implementing comparison strategies in software prototypes through a structured process of abstraction, design and testing. Doing so is intended to explore and answer a series of research questions in ways that will improve the role of visualisation in E-discovery.

Publication Type:	Conference or Workshop Item (Lecture)
Additional Information:	© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects:	H Social Sciences > HE Transportation and Communications Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology > Computer Science

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