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IWANN
2009
Springer
16 years 1 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
176
Voted
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
16 years 1 months ago
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions
There is a need to develop methods to automatically incorporate prior knowledge to support the prediction and validation of novel functional associations. One such important sourc...
Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivi...
OTM
2004
Springer
16 years 23 days ago
Engineering an Ontology of Financial Securities Fraud
Abstract. This paper discusses the approach of ontology-based knowledge engineering in FF POIROT, a project to explore the use of ontology technology in information systems against...
Gang Zhao, John Kingston, Koen Kerremans, Frederic...
AMINING
2003
Springer
245views Data Mining» more  AMINING 2003»
16 years 19 days ago
Spiral Mining Using Attributes from 3D Molecular Structures
Active responses from experts play an essential role in the knowledge discovery of SAR (structure activity relationships) from drug data. Experts often think of hypotheses, and the...
Takashi Okada, Masumi Yamakawa, Hirotaka Niitsuma
ICCAD
2000
IEEE
149views Hardware» more  ICCAD 2000»
15 years 11 months ago
Dynamic Response Time Optimization for SDF Graphs
Synchronous Data Flow (SDF) is a well-known model of computation that is widely used in the control engineering and digital signal processing domains. Existing scheduling methods ...
Dirk Ziegenbein, Jan Uerpmann, Ralph Ernst