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» Clustering performance data efficiently at massive scales
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ICML
2000
IEEE
16 years 5 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»
15 years 4 months ago
SCALE: a scalable framework for efficiently clustering transactional data
Hua Yan, Keke Chen, Ling Liu, Zhang Yi
CIKM
2009
Springer
15 years 9 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 10 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
14 years 10 days 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...