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CLOUD
2010
ACM
14 years 1 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
ICDCS
1999
IEEE
14 years 24 days ago
Run-time Detection in Parallel and Distributed Systems: Application to Safety-Critical Systems
There is growing interest in run-time detection as parallel and distributed systems grow larger and more complex. This work targets run-time analysis of complex, interactive scien...
Beth Plale, Karsten Schwan
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 2 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
14 years 1 months ago
A viewpoint-based approach for interaction graph analysis
Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applicat...
Sitaram Asur, Srinivasan Parthasarathy
HIPC
2009
Springer
13 years 6 months ago
Integrating and optimizing transactional memory in a data mining middleware
As the size of available datasets in various domains is growing rapidly, there is an increasing need for scaling data mining implementations. Coupled with the current trends in co...
Vignesh T. Ravi, Gagan Agrawal