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» Scalability for Clustering Algorithms Revisited
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SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 5 months ago
Clustering Objects on a Spatial Network
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
Man Lung Yiu, Nikos Mamoulis
ICDE
2004
IEEE
117views Database» more  ICDE 2004»
16 years 1 months ago
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web
In this paper, we introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present THOR, a scalable and efficient min...
James Caverlee, Ling Liu, David Buttler
ICDCS
2007
IEEE
15 years 6 months ago
A High Throughput Atomic Storage Algorithm
This paper presents an algorithm to ensure the atomicity of a distributed storage that can be read and written by any number of clients. In failure-free and synchronous situations...
Rachid Guerraoui, Dejan Kostic, Ron R. Levy, Vivie...
EUROPAR
2004
Springer
15 years 5 months ago
From Heterogeneous Task Scheduling to Heterogeneous Mixed Parallel Scheduling
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
Frédéric Suter, Frederic Desprez, He...
SDM
2012
SIAM
297views Data Mining» more  SDM 2012»
13 years 2 months ago
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Adam Lugowski, David M. Alber, Aydin Buluç,...