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ECML
2006
Springer
15 years 7 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
ICDE
2007
IEEE
129views Database» more  ICDE 2007»
15 years 10 months ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
CCGRID
2006
IEEE
15 years 7 months ago
DIMVisual: Data Integration Model for Visualization of Parallel Programs Behavior
Abstract-- The development of high performance parallel applications for clusters is considered a complex task. This can happen because the influence of the execution environment a...
Lucas Mello Schnorr, Philippe Olivier Alexandre Na...
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CCGRID
2003
IEEE
15 years 9 months ago
Evaluation of the inter-cluster data transfer on Grid environment
High-performance peer-to-peer transfer between clusters will be fundamental technology base for various Grid middleware, such as large-scale data transfer in DataGrid settings, or...
Shoji Ogura, Satoshi Matsuoka, Hidemoto Nakada