In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Motivated by applications to sensor networks and privacy preserving databases, we consider the problem of functional compression. The objective is to separately compress possibly c...
Over the last twenty years the interfaces for accessing persistent storage within a computer system have remained essentially unchanged. Simply put, seek, read and write have deļ¬...
Xiangyong Ouyang, David W. Nellans, Robert Wipfel,...
āIn this demonstration paper, we present a powerful distributed framework for ļ¬nding similar trajectories in a smartphone network, without disclosing the traces of participatin...