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KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 7 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
148
Voted
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
15 years 4 months ago
Evaluating Query Result Significance in Databases via Randomizations
Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using ...
Markus Ojala, Gemma C. Garriga, Aristides Gionis, ...
USENIX
2007
15 years 5 months ago
Energy Management for Hypervisor-Based Virtual Machines
Current approaches to power management are based on operating systems with full knowledge of and full control over the underlying hardware; the distributed nature of multi-layered...
Jan Stoess, Christian Lang, Frank Bellosa
ICDM
2008
IEEE
235views Data Mining» more  ICDM 2008»
15 years 10 months ago
DECK: Detecting Events from Web Click-Through Data
In the past few years there has been increased research interest in detecting previously unidentified events from Web resources. Our focus in this paper is to detect events from ...
Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl
MLDM
2007
Springer
15 years 9 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...