Title
A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges
Abstract
Visual analytics employs interactive visualizations to integrate users’ knowledge and inference capability into numerical/algorithmic data analysis processes.It is an active research field that has applications in many sectors, such as security, finance, and business.The growing popularity of visual analytics in recent years creates the need for a broad survey that reviews and assesses the recent developments in the field.This report reviews and classifies recent work into a set of application categories including space and time, multivariate, text, graph and network, and other applications.More importantly, this report presents analytics space, inspired by design space, which relates each application category to the key steps in visual analytics, including visual mapping, model-based analysis, and user interactions.We explore and discuss the analytics space to add the current understanding and better understand research trends in the field.
Year
DOI
Venue
2013
10.1007/s11390-013-1383-8
J. Comput. Sci. Technol.
Keywords
Field
DocType
data analysis,visual analytics,information visualization,user interaction
Data science,Business analytics,Software analytics,Information visualization,Computer science,Inference,Visual analytics,Cultural analytics,Analytics,Business intelligence
Journal
Volume
Issue
ISSN
28
5
1860-4749
Citations 
PageRank 
References 
57
1.49
121
Authors
4
Search Limit
100121
Name
Order
Citations
PageRank
Guo-Dao Sun117111.24
Yingcai Wu2122361.26
Rong-Hua Liang3793.95
Shixia Liu4209582.41