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IEAAIE
2005
Springer
15 years 4 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
WWW
2011
ACM
14 years 6 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
TIP
2010
145views more  TIP 2010»
14 years 6 months ago
Joint Manifolds for Data Fusion
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte,...
EUSAI
2003
Springer
15 years 4 months ago
Experimental Evaluation of Variations in Primary Features Used for Accelerometric Context Recognition
The paper describes initial results in an ongoing project aimed at providing and analyzing standardized, representative data sets for typical context recognition tasks. Such data ...
Ernst A. Heinz, Kai S. Kunze, Stefan Sulistyo, Hol...
AP2PC
2007
Springer
15 years 25 days ago
Enabling Grassroots Distributed Computing with CompTorrent
This paper describes the operational characteristics of “CompTorrent”, a general purpose distributed computing platform that provides a low entry cost to creating new distribut...
Bradley Goldsmith