Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Designing progressive and interactive analytics processes for high dimensional data analysis

Tools
- Tools
+ Tools

Turkay, Cagatay, Kaya, Erdem, Balcisoy, Selim and Hauser, Helwig (2017) Designing progressive and interactive analytics processes for high dimensional data analysis. IEEE Transactions on Visualization and Computer Graphics, 23 (1). pp. 131-140. doi:10.1109/TVCG.2016.2598470

Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.1109/TVCG.2016.2598470

Request Changes to record.

Abstract

In interactive data analysis processes, the dialogue between the human and the computer is the enabling mechanism that can lead to actionable observations about the phenomena being investigated. It is of paramount importance that this dialogue is not interrupted by slow computational mechanisms that do not consider any known temporal human-computer interaction characteristics that prioritize the perceptual and cognitive capabilities of the users. In cases where the analysis involves an integrated computational method, for instance to reduce the dimensionality of the data or to perform clustering, such non-optimal processes are often likely. To remedy this, progressive computations, where results are iteratively improved, are getting increasing interest in visual analytics. In this paper, we present techniques and design considerations to incorporate progressive methods within interactive analysis processes that involve high-dimensional data. We define methodologies to facilitate processes that adhere to the perceptual characteristics of users and describe how online algorithms can be incorporated within these. A set of design recommendations and according methods to support analysts in accomplishing high-dimensional data analysis tasks are then presented. Our arguments and decisions here are informed by observations gathered over a series of analysis sessions with analysts from finance. We document observations and recommendations from this study and present evidence on how our approach contribute to the efficiency and productivity of interactive visual analysis sessions involving high-dimensional data.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Centre for Interdisciplinary Methodologies
Journal or Publication Title: IEEE Transactions on Visualization and Computer Graphics
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1077-2626
Official Date: 2017
Dates:
DateEvent
2017Published
13 July 2016Accepted
Volume: 23
Number: 1
Page Range: pp. 131-140
DOI: 10.1109/TVCG.2016.2598470
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Adapted As: 13/07/2016
Related URLs:
  • Other Repository

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us