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BPM
2009
Springer
175views Business» more  BPM 2009»
16 years 1 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
184
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WSOM
2009
Springer
16 years 1 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
CAIP
2009
Springer
200views Image Analysis» more  CAIP 2009»
16 years 1 months ago
Real-Time Stereo Vision: Making More Out of Dynamic Programming
Abstract. Dynamic Programming (DP) is a popular and efficient method for calculating disparity maps from stereo images. It allows for meeting real-time constraints even on low-cos...
Jan Salmen, Marc Schlipsing, Johann Edelbrunner, S...
CIKM
2009
Springer
16 years 1 months ago
A case study on model driven data integration for data centric software development
Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metada...
Hyeonsook Kim, Ying Zhang, Samia Oussena, Tony Cla...
DCOSS
2009
Springer
16 years 1 months ago
Detection and Localization Sensor Assignment with Exact and Fuzzy Locations
Sensor networks introduce new resource allocation problems in which sensors need to be assigned to the tasks they best help. Such problems have been previously studied in simplifi...
Hosam Rowaihy, Matthew P. Johnson, Diego Pizzocaro...
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