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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 7 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...
SAC
2005
ACM
16 years 10 days ago
Efficient placement and routing in grid-based networks
This paper presents an efficient technique for placement and routing of sensors/actuators and processing units in a grid network. Our system requires an extremely high level of ro...
Roozbeh Jafari, Foad Dabiri, Bo-Kyung Choi, Majid ...
ICSR
2004
Springer
16 years 4 days ago
Validating Quality of Service for Reusable Software Via Model-Integrated Distributed Continuous Quality Assurance
Quality assurance (QA) tasks, such as testing, profiling, and performance evaluation, have historically been done in-house on developer-generated workloads and regression suites. ...
Arvind S. Krishna, Douglas C. Schmidt, Atif M. Mem...
GEOS
2007
Springer
16 years 28 days ago
Semantic Annotation of Maps Through Knowledge Provenance
Maps are artifacts often derived from multiple sources of data, e.g., sensors, and processed by multiple methods, e.g., gridding and smoothing algorithms. As a result, complex meta...
Nicholas Del Rio, Paulo Pinheiro da Silva, Ann Q. ...
OTM
2007
Springer
16 years 27 days ago
Semantically Resolving Type Mismatches in Scientific Workflows
Scientists are increasingly utilizing Grids to manage large data sets and execute scientific experiments on distributed resources. Scientific workflows are used as means for modeli...
Kheiredine Derouiche, Denis A. Nicole