Paper Info
Title
Criteria to choose appropriate graph-types
Abstract
Results from empirical studies on automatic visualization systems for statistical data are reported. These studies especially focused on a mechanism for choosing an appropriate graph type. Two experiments were conducted as a first step fowards proposing a mechanism with objective bases.
Year
DOI
Venue
2000
10.1007/3-540-44533-1_112
PRICAI
Keywords
Field
DocType
automatic visualization system,statistical data,appropriate graph type,appropriate graph-types,objective base,empirical study,visual system
Graph,Visualization,Computer science,Tree (data structure),Artificial intelligence,Cross-validation,Machine learning,Empirical research
Conference
ISBN
Citations 
PageRank 
3-540-67925-1
5
0.64
References 
Authors
0
3
Name
Order
Citations
PageRank
Hayato Yonezawa181.14
Mitsunori Matsushita213829.70
Tsuneaki Kato327138.70