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KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 9 days ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
16 years 9 days ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
LCTRTS
2005
Springer
16 years 9 days ago
Syncopation: generational real-time garbage collection in the metronome
Real-time garbage collection has been shown to be feasible, but for programs with high allocation rates, the utilization achievable is not sufficient for some systems. Since a hi...
David F. Bacon, Perry Cheng, David Grove, Martin T...
LCTRTS
2005
Springer
16 years 9 days ago
Complementing software pipelining with software thread integration
Software pipelining is a critical optimization for producing efficient code for VLIW/EPIC and superscalar processors in highperformance embedded applications such as digital sign...
Won So, Alexander G. Dean
LCTRTS
2005
Springer
16 years 9 days ago
Preventing interrupt overload
Performance guarantees can be given to tasks in an embedded system by ensuring that access to each shared resource is mediated by an appropriate scheduler. However, almost all pre...
John Regehr, Usit Duongsaa
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