TY - GEN
T1 - Icon placement regularization for Jammed profiles
T2 - 6th International Conference on Advances in Information Technology 2013, IAIT 2013
AU - Kamiya, Hiroyuki
AU - Yokote, Ryota
AU - Matsuyama, Yasuo
PY - 2013
Y1 - 2013
N2 - A new icon spotting method for designing a user-friendly GUI is described. Here, each icon can represent continuous and discrete vector data which are possibly high-dimensional. An important issue is icon-margin adjustment or uniforming while the relative positioning is maintained. For generating such GUI, multidimensional scaling, kernel principal component analysis (KPCA) and regularization were combined. This method was applied to a set of city locations and a big data set of web-registered job hunter profiles. The former is used to check to see location errors. There were only little mis-allocations. The latter is a set of high dimensional and sparsely discrete-valued big data in the real world. Through these experiments, it was recognized that the presented method, which combines multidimensional scaling, KPCA and the regularization, is applicable to a wide class of jammed big data for generating a user-friendly GUI.
AB - A new icon spotting method for designing a user-friendly GUI is described. Here, each icon can represent continuous and discrete vector data which are possibly high-dimensional. An important issue is icon-margin adjustment or uniforming while the relative positioning is maintained. For generating such GUI, multidimensional scaling, kernel principal component analysis (KPCA) and regularization were combined. This method was applied to a set of city locations and a big data set of web-registered job hunter profiles. The former is used to check to see location errors. There were only little mis-allocations. The latter is a set of high dimensional and sparsely discrete-valued big data in the real world. Through these experiments, it was recognized that the presented method, which combines multidimensional scaling, KPCA and the regularization, is applicable to a wide class of jammed big data for generating a user-friendly GUI.
KW - Data mining
KW - GUI
KW - Icon spotting
KW - Regularization
KW - Uniforming
UR - http://www.scopus.com/inward/record.url?scp=84897821177&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897821177&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-03783-7_7
DO - 10.1007/978-3-319-03783-7_7
M3 - Conference contribution
AN - SCOPUS:84897821177
SN - 9783319037820
VL - 409
T3 - Communications in Computer and Information Science
SP - 70
EP - 79
BT - Communications in Computer and Information Science
Y2 - 12 December 2013 through 13 December 2013
ER -