An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Complex data mapping tasks often arise in software engineering, particularly in code generation and model transformation. We describe Marama Torua, a tool supporting high-level sp...
Jun Huh, John C. Grundy, John G. Hosking, Karen Na...
We address the problem of processing continuous multi-join queries, over distributed data streams, making use of existing work in the field of publish/subscribe systems. We show ...
Oana Jurca, Sebastian Michel, Alexandre Herrmann, ...
Abstract. A new trend in runtime system monitoring is to utilize MOFbased techniques in analyzing the runtime system data. Approaches and tools have been proposed to automatically ...
Hui Song, Gang Huang, Yingfei Xiong, Franck Chauve...
We address the problem of efficiently gathering correlated data from a wireless sensor network, with the aim of designing algorithms with provable optimality guarantees, and unders...