Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
During persistent surveillance of a given population in a conflict situation, data management can quickly become unwieldy due to the inundation of low-level information from many, ...
Colleen L. Phillips, Norman D. Geddes, Justin T. S...
Pervasive computing introduces data management requirements that must be tackled in a growingvariety of lightweight computing devices. Personal folders on chip, networks of sensor...
This paper explains our research and implementations of manual, automatic and deep annotations of provenance logs for e-Science in silico experiments. Compared to annotating gener...
This paper proposes the integration of semantic information drawn from a web application’s domain knowledge into all phases of the web usage mining process (preprocessing, patte...