20 citations · 70 across the 20 of their papers we have counts for
5 papers · 1 filter
Preserving the value of large scale data analytics over time through selective re-computation
Paolo Missier, Jacek Cala, Maisha Rathi
A pervasive problem in Data Science is that the knowledge generated by possibly expensive analytics processes is subject to decay over time, as the data used to compute it drifts,…
The lifecycle of provenance metadata and its associated challenges and opportunities
Paolo Missier
This chapter outlines some of the challenges and opportunities associated with adopting provenance principles and standards in a variety of disciplines, including data publication…
Tracking Dengue Epidemics using Twitter Content Classification and Topic Modelling
Paolo Missier, Alexander Romanovsky, Tudor Miu +5
Detecting and preventing outbreaks of mosquito-borne diseases such as Dengue and Zika in Brasil and other tropical regions has long been a priority for governments in affected area…
The data, they are a-changin'
Paolo Missier, Jacek Cala, Eldarina Wijaya
The cost of deriving actionable knowledge from large datasets has been decreasing thanks to a convergence of positive factors: low cost data generation, inexpensively scalable stor…
TAPER: query-aware, partition-enhancement for large, heterogenous, graphs
Hugo Firth, Paolo Missier
Graph partitioning has long been seen as a viable approach to address Graph DBMS scalability. A partitioning, however, may introduce extra query processing latency unless it is sen…