Recommender systems research has experienced different stages such as from user preference understanding to content analysis. Typical recommendation algorithms were built on the fo...
Associative Classification (AC) is a well known tool in knowledge discovery and it has been proved to extract competitive classifiers. However, imbalanced data has posed a challeng...
With the popularization of positioning devices such as GPS navigators and smart phones, large volumes of spatiotemporal trajectory data have been produced at unprecedented speed. F...
The recent advancements in online social networks and mobile devices have provided valuable data sources to track users’ smartphone adoption, i.e., the usage of smartphones over ...
Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, X...
Abstract. Predicting next items of sequences of symbols has many applications in a wide range of domains. Several sequence prediction models have been proposed such as DG, All-k-or...
Ted Gueniche, Philippe Fournier-Viger, Rajeev Rama...