Using certain artificial intelligence techniques, stock data mining has given encouraging results in both trend analysis and similarity search. However, representing stock data ef...
We examine the problems with automated recommendation systems when information about user preferences is limited. We equate the problem to one of content similarity measurement an...
A family of fuzzification schemes is proposed that can be used to transform cardinality-based similarity measures for ordinary sets into similarity measures for fuzzy sets in a fi...
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
: In image processing, image similarity indices evaluate how much structural information is maintained by a processed image in relation to a reference image. Commonly used measures...