AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (9.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

ManyInsights: A Visual Analytics Approach to Supporting Effective Insight Management

Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
Show Author Information

Abstract

Although significant progress has been made towards effective insight discovery in visual analytics systems, there are few effective approaches for managing the large number of insights generated in visual analytics processes. This paper presents ManyInsights, a multidimensional visual analytics prototype that integrates several novel insight management approaches proposed by the authors in their previous work. These approaches include insight annotation, browsing, retrieval, organization, and association. This paper also reports a long-term case study that evaluated ManyInsights with a domain expert, realistic analytic tasks, and real datasets.

References

【1】
【1】
 
 
Tsinghua Science and Technology
Pages 171-181

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Chen Y, Yang J. ManyInsights: A Visual Analytics Approach to Supporting Effective Insight Management. Tsinghua Science and Technology, 2013, 18(2): 171-181. https://doi.org/10.1109/TST.2013.6509100

908

Views

45

Downloads

4

Crossref

N/A

Web of Science

4

Scopus

0

CSCD

Received: 07 March 2013
Accepted: 07 March 2013
Published: 30 April 2013
© The author(s) 2013