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» Multidimensional Data Modeling for Business Process Analysis
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117
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SSDBM
2010
IEEE
105views Database» more  SSDBM 2010»
15 years 8 months ago
Organization of Data in Non-convex Spatial Domains
We present a technique for organizing data in spatial databases with non-convex domains based on an automatic characterization using the medial-axis transform (MAT). We define a t...
Eric A. Perlman, Randal C. Burns, Michael M. Kazhd...
137
Voted
CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 27 days ago
Ontology-based Queries over Cancer Data
The ever-increasing amount of data in biomedical research, and in cancer research in particular, needs to be managed to support efficient data access, exchange and integration. Exi...
Alejandra González Beltrán, Ben Tagg...
167
Voted
FPL
2007
Springer
124views Hardware» more  FPL 2007»
15 years 9 months ago
A Quantitative Prediction Model for Hardware/Software Partitioning
An important step in Heterogeneous System Development is Hardware/Software Partitioning. This process involves exploring a huge design space. By using profiling to select hot-spo...
Roel Meeuws, Yana Yankova, Koen Bertels, Georgi Ga...
IRREGULAR
1997
Springer
15 years 7 months ago
Programming with Shared Data Abstractions
ing with shared data abstractions Simon Dobson1 and Don Goodeve2 1 Well-Founded Systems Unit, CLRC Rutherford Appleton Laboratory, UK 2 School of Computer Studies, University of Le...
Simon A. Dobson, Don Goodeve
145
Voted
NIPS
1998
15 years 4 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller