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ISMIS
2005
Springer
16 years 3 days ago
Scalable Inductive Learning on Partitioned Data
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
Qijun Chen, Xindong Wu, Xingquan Zhu
JSSPP
2005
Springer
16 years 3 days ago
Modeling User Runtime Estimates
User estimates of job runtimes have emerged as an important component of the workload on parallel machines, and can have a significant impact on how a scheduler treats different ...
Dan Tsafrir, Yoav Etsion, Dror G. Feitelson
OTM
2005
Springer
16 years 3 days ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
PCI
2005
Springer
16 years 3 days ago
Initial Experiences Porting a Bioinformatics Application to a Graphics Processor
Bioinformatics applications are one of the most relevant and compute-demanding applications today. While normally these applications are executed on clusters or dedicated parallel ...
Maria Charalambous, Pedro Trancoso, Alexandros Sta...
RSFDGRC
2005
Springer
156views Data Mining» more  RSFDGRC 2005»
16 years 3 days ago
Intrusion Detection System Based on Multi-class SVM
In this paper, we propose a new intrusion detection model, which keeps advantages of existing misuse detection model and anomaly detection model and resolves their problems. This ...
Hansung Lee, Jiyoung Song, Daihee Park