Coupled nominal similarity in unsupervised learning

90 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Improving stock market prediction via heterogeneous information fusion (2017, methodology): “To capture such effects, inspired by the previous works [43, 44], we apply a Coupled Stock Similarity (CSS) measure by taking the intra interaction between values within an attribute and the inter interaction between attributes into account to calculate the correlation between stocks.”
Coupled Matrix Factorization Within Non-IID Context (2014, methodology): “Actually, several research outcomes such as [16] [17] [18] [9] [10] have been proposed to handle the challenging issues.”