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78
Voted
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
ENVSOFT
2007
108views more  ENVSOFT 2007»
14 years 10 months ago
Modeling biocomplexity - actors, landscapes and alternative futures
: Increasingly, models (and modelers) are being asked to address the interactions between human influences, ecological processes, and landscape dynamics that impact many diverse as...
John P. Bolte, David W. Hulse, Stanley V. Gregory,...
96
Voted
CLOUD
2010
ACM
15 years 3 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
URBAN
2008
99views more  URBAN 2008»
14 years 10 months ago
A comparison of address point, parcel and street geocoding techniques
The widespread availability of powerful geocoding tools in commercial GIS software and the interest in spatial analysis at the individual level have made address geocoding a widel...
Paul A. Zandbergen
106
Voted
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
15 years 10 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker