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» Data Stream Clustering: Challenges and Issues
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CIKM
2009
Springer
13 years 11 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
PR
2006
78views more  PR 2006»
13 years 5 months ago
Similarity-based analysis for large networks of ultra-low resolution sensors
By analyzing the similarities between bit streams coming from a network of motion detectors, we can recover the network geometry and discover structure in the human behavior being...
Christopher Richard Wren, David C. Minnen, Sriniva...
DGO
2006
134views Education» more  DGO 2006»
13 years 6 months ago
Next steps in near-duplicate detection for eRulemaking
Large volume public comment campaigns and web portals that encourage the public to customize form letters produce many near-duplicate documents, which increases processing and sto...
Hui Yang, Jamie Callan, Stuart W. Shulman
BMCBI
2010
124views more  BMCBI 2010»
13 years 5 months ago
Comparative analysis of acute and chronic corticosteroid pharmacogenomic effects in rat liver: Transcriptional dynamics and regu
Background: Comprehensively understanding corticosteroid pharmacogenomic effects is an essential step towards an insight into the underlying molecular mechanisms for both benefici...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
13 years 5 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama