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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 6 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
PROCEDIA
2011
12 years 9 months ago
GPU-accelerated Chemical Similarity Assessment for Large Scale Databases
The assessment of chemical similarity between molecules is a basic operation in chemoinformatics, a computational area concerning with the manipulation of chemical structural info...
Marco Maggioni, Marco D. Santambrogio, Jie Liang
CSCW
2006
ACM
14 years 1 days ago
Response times in N-user replicated, centralized, and proximity-based hybrid collaboration architectures
We evaluate response times, in N-user collaborations, of the popular centralized (client-server) and replicated (peer-to-peer) architectures, and a hybrid architecture in which ea...
Sasa Junuzovic, Prasun Dewan
KDD
2008
ACM
232views Data Mining» more  KDD 2008»
14 years 6 months ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
SIGCOMM
2010
ACM
13 years 6 months ago
Topology-aware resource allocation for data-intensive workloads
This paper proposes an architecture for optimized resource allocation in Infrastructure-as-a-Service (IaaS)-based cloud systems. Current IaaS systems are usually unaware of the ho...
Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan,...