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CSCW
2006
ACM
13 years 7 months ago
Scientific Data Collections and Distributed Collective Practice
As the basic sciences become increasingly information-intensive, the management and use of research data presents new challenges in the collective activities that constitute schola...
Melissa H. Cragin, Kalpana Shankar
CORR
2010
Springer
188views Education» more  CORR 2010»
13 years 7 months ago
A physically-based particle model of emergent crowd behaviors
This paper presents a modeling process in order to produce a realistic simulation of crowds in the ancient Greek agora of Argos. This place was a social theater in which two kinds...
Laure Heïgéas, Annie Luciani, Joë...
COMSNETS
2012
182views more  COMSNETS 2012»
12 years 3 months ago
Hierarchy-aware distributed overlays in data centers using DC2
—Popular online services such as social networks, e-commerce and bidding are routinely hosted in large-scale data centers. Group communication systems (e.g., multicast) and distr...
Karthik Nagaraj, Hitesh Khandelwal, Charles Edwin ...
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 7 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 7 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson