To improve the whole dependability of large-scale cluster systems, an online fault detection mechanism is proposed in this paper. This mechanism can detect the fault in time befor...
Effort to evolve and maintain a software system is likely to vary depending on the amount and frequency of change requests. This paper proposes to model change requests as time se...
This paper summarizes some of our unclassified work on concepts and techniques for performing automated runtime time-critical resource management (especially scheduling) in large ...
The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the databas...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner