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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 7 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
16 years 1 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser
CGO
2006
IEEE
16 years 28 days ago
Compiler-directed Data Partitioning for Multicluster Processors
Multicluster architectures overcome the scaling problem of centralized resources by distributing the datapath, register file, and memory subsystem across multiple clusters connec...
Michael L. Chu, Scott A. Mahlke
ACSC
2005
IEEE
16 years 15 days ago
A Delivery Framework for Health Data Mining and Analytics
The iHealth Explorer tool, developed by CSIRO and DoHA, delivers web services type data mining and analytic facilities over a web interface, providing desktop access to sophistica...
Damien McAullay, Graham J. Williams, Jie Chen, Hui...
ISIPTA
2005
IEEE
140views Mathematics» more  ISIPTA 2005»
16 years 14 days ago
Conservative Rules for Predictive Inference with Incomplete Data
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
Marco Zaffalon