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» Modelling Complex Events with Event-Driven Process Chains
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ECAI
2004
Springer
15 years 5 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
116
Voted
DEXAW
1998
IEEE
165views Database» more  DEXAW 1998»
15 years 3 months ago
Event Processing in Mobile and Active Database Systems Using Broadcasts
The integration of active database technology into mobile database systems allows to limit the transfer of data between mobile computers and the stationary network. In order to em...
Stefan Sauer, Olaf Zukunft
APSEC
2007
IEEE
15 years 3 months ago
Deriving Software Process Simulation Model from SPEM-based Software Process Model
It is difficult to adopt a simulation technology for simulating a software process because of the difficulty in developing a simulation model. In order to resolve the difficulty, ...
Seunghun Park, KeungSik Choi, Kyung-A Yoon, Doo-Hw...
CIBCB
2007
IEEE
15 years 6 months ago
Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes
Abstract— This paper presents a parametric model to estimate the DNA-protein binding time using the DNA and protein structures and details of the binding site. To understand the ...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...
TOSEM
1998
80views more  TOSEM 1998»
14 years 11 months ago
Discovering Models of Software Processes from Event-Based Data
Many software process methods and tools presuppose the existence of a formal model of a process. Unfortunately, developing a formal model for an on-going, complex process can be d...
Jonathan E. Cook, Alexander L. Wolf