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12 years 1 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...
IJCAI
1997
13 years 7 months ago
Structural Inferences from Massive Datasets
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
Kenneth Yip
WACV
2008
IEEE
14 years 4 days ago
Recovering Social Networks From Massive Track Datasets
Christopher I. Connolly, J. Brian Burns, Hung Hai ...
DOLAP
1999
ACM
13 years 10 months ago
A Cache Filtering Optimisation for Queries to Massive Datasets on Tertiary Storage
We consider a system in which many users run queries to examine subsets of a large object set. The object set is partitioned into files on tape. A single subset of objects will b...
Koen Holtman, Peter van der Stok, Ian Willers
PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
13 years 10 months ago
Scaling up Dynamic Time Warping to Massive Dataset
Eamonn J. Keogh, Michael J. Pazzani