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» Applying Patterns during Business Process Modeling
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ICPR
2002
IEEE
14 years 11 months ago
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Yuan (Alan) Qi, Rosalind W. Picard
JSS
2011
126views more  JSS 2011»
13 years 24 days ago
A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems
Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the...
Xiao Liu, Zhiwei Ni, Dong Yuan, Yuan-Chun Jiang, Z...
AEI
2007
91views more  AEI 2007»
13 years 10 months ago
MICF: An effective sanitization algorithm for hiding sensitive patterns on data mining
Data mining mechanisms have widely been applied in various businesses and manufacturing companies across many industry sectors. Sharing data or sharing mined rules has become a tr...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
CCE
2011
13 years 1 months ago
Time representations and mathematical models for process scheduling problems
During the last 15 years, many mathematical models have been developed in order to solve process operation scheduling problems, using discrete or continuous time representations. ...
Sylvain Mouret, Ignacio E. Grossmann, Pierre Pesti...
ISPW
2011
IEEE
13 years 1 months ago
Analyzing software process models with AVISPA
Software process models are sophisticated and large specifications aimed at organizing and managing software development. Their formal specification demands an enormous effort,...
Julio Ariel Hurtado Alegria, María Cecilia ...