In the past few years there has been increased research interest in detecting previously unidentified events from Web resources. Our focus in this paper is to detect events from ...
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is ...
Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun L...
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
We describe the web usage mining activities of an on-going project, called ClickWorld3 , that aims at extracting models of the navigational behaviour of a web site users. The model...
Miriam Baglioni, U. Ferrara, Andrea Romei, Salvato...
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...