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» Clustering performance data efficiently at massive scales
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ICML
2000
IEEE
15 years 10 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
DATAMINE
2010
85views more  DATAMINE 2010»
14 years 9 months ago
SCALE: a scalable framework for efficiently clustering transactional data
Hua Yan, Keke Chen, Ling Liu, Zhang Yi
CIKM
2009
Springer
15 years 2 months ago
Query processing of massive trajectory data based on mapreduce
With the development of positioning technologies and the boosting deployment of inexpensive location-aware sensors, large volumes of trajectory data have emerged. However, efficie...
Qiang Ma, Bin Yang 0002, Weining Qian, Aoying Zhou
AINA
2005
IEEE
15 years 3 months ago
Scalable Collision Detection for Massively Multiplayer Online Games
We describe approaches for satisfying the real-time collision detection requirements of distributed virtual environments. We assume a distributed virtual environment is deployed u...
Graham Morgan, Kier Storey

Publication
197views
13 years 5 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...