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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
KDD
2008
ACM
153views Data Mining» more  KDD 2008»
15 years 10 months ago
Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry
Text classification has matured as a research discipline over the last decade. Independently, business intelligence over structured databases has long been a source of insights fo...
Shantanu Godbole, Shourya Roy
STOC
2005
ACM
164views Algorithms» more  STOC 2005»
15 years 9 months ago
Cooperative asynchronous update of shared memory
The Write-All problem for an asynchronous shared-memory system has the objective for the processes to update the contents of a set of shared registers, while minimizing the mber o...
Bogdan S. Chlebus, Dariusz R. Kowalski
RECOMB
2010
Springer
15 years 4 months ago
Incremental Signaling Pathway Modeling by Data Integration
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
Geoffrey Koh, David Hsu, P. S. Thiagarajan
EDBT
2010
ACM
208views Database» more  EDBT 2010»
15 years 4 months ago
Stream schema: providing and exploiting static metadata for data stream processing
Schemas, and more generally metadata specifying structural and semantic constraints, are invaluable in data management. They facilitate conceptual design and enable checking of da...
Peter M. Fischer, Kyumars Sheykh Esmaili, Ren&eacu...
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