TY - GEN
T1 - ExtractVis
T2 - 5th International Symposium on Visual Information Communication and Interaction, VINCI 2012
AU - Xiao, Zhao
AU - Wang, Changbo
AU - Liu, Yuhua
AU - Pang, Chenming
AU - Ye, Peng
PY - 2012
Y1 - 2012
N2 - Due to the excessive items and multiple dimensions of parallel data, traditional visualization methods can not show the prominent information from their characters. This paper proposes a novel method of entity extracting to perform the multi-scale and hierarchical visualization of multi-attribute data set. Firstly, the relationship between these characters can be expressed as entity-relationship and data dimension is expressed as entity attributes, which can eliminate data redundancy and reduce data dimensions. Then a scalable dynamic visualization mode is proposed to show the characters at different levels of details. The method can interactively operate to visualize different data sets, such as electronic commerce data, weather forecast data, and gene expressions data, generating effective visualization results.
AB - Due to the excessive items and multiple dimensions of parallel data, traditional visualization methods can not show the prominent information from their characters. This paper proposes a novel method of entity extracting to perform the multi-scale and hierarchical visualization of multi-attribute data set. Firstly, the relationship between these characters can be expressed as entity-relationship and data dimension is expressed as entity attributes, which can eliminate data redundancy and reduce data dimensions. Then a scalable dynamic visualization mode is proposed to show the characters at different levels of details. The method can interactively operate to visualize different data sets, such as electronic commerce data, weather forecast data, and gene expressions data, generating effective visualization results.
KW - E-R extract
KW - information visualization
KW - multi-dimensional data
KW - scalable interactive
UR - https://www.scopus.com/pages/publications/84870940216
U2 - 10.1145/2397696.2397706
DO - 10.1145/2397696.2397706
M3 - 会议稿件
AN - SCOPUS:84870940216
SN - 9781450317825
T3 - ACM International Conference Proceeding Series
SP - 65
EP - 68
BT - VINCI 2012 - 5th International Symposium on Visual Information Communication and Interaction
Y2 - 27 September 2012 through 28 September 2012
ER -