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IWSSD
1993
IEEE
15 years 11 months ago
Fine-Grain Process Modelling
In this paper, we propose the use of fine-grain process modelling as an aid to software development. We suggest the use of two levels of granularity, one at the level of the indiv...
Bashar Nuseibeh, Anthony Finkelstein, Jeff Kramer
ASPLOS
2006
ACM
15 years 10 months ago
Accurate and efficient regression modeling for microarchitectural performance and power prediction
We propose regression modeling as an efficient approach for accurately predicting performance and power for various applications executing on any microprocessor configuration in a...
Benjamin C. Lee, David M. Brooks
EEE
2005
IEEE
16 years 15 days ago
From Multi-Context Business Collaboration Models to Context-Specific ebXML BPSS
UN/CEFACT’s Modelling Methodology (UMM) is used to analyze and design B2B business processes. We extend UMM by a constraint mechanism for adding business environment-specific co...
Birgit Hofreiter, Christian Huemer
IDEAL
2004
Springer
16 years 7 days ago
Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
Michael Small
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 4 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li