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NN
2000
Springer
150views Neural Networks» more  NN 2000»
15 years 5 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
IS
2008
15 years 5 months ago
Conformance checking of processes based on monitoring real behavior
Many companies have adopted Process-aware Information Systems (PAIS) to support their business processes in some form. On the one hand these systems typically log events (e.g., in ...
Anne Rozinat, Wil M. P. van der Aalst
CLOUD
2010
ACM
15 years 10 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
AGILEDC
2005
IEEE
15 years 11 months ago
Experiences Integrating Sophisticated User Experience Design Practices into Agile Processes
Most significant software processes involve a wide range of disciplines, from programming to testing, and from documentation to database development. Unfortunately, agile processe...
Paul Hodgetts
ICNP
2006
IEEE
15 years 11 months ago
Differentiated BGP Update Processing for Improved Routing Convergence
— Internet routers today can be overwhelmed by a large number of BGP updates triggered by events such as session resets, link failures, and policy changes. Such excessive updates...
Wei Sun, Zhuoqing Morley Mao, Kang G. Shin