One of the main issues inWeb usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of users’sessions and di...
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
In this paper we discuss how graph mining system is applied to sales transaction data so as to understand consumer behavior. First, existing research of consumer behavior analysis ...
Different researches suggest that inner facial features are not the only discriminative features for tasks such as person identification or gender classification. Indeed, they have...
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...