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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 7 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
VLDB
2007
ACM
226views Database» more  VLDB 2007»
16 years 6 months ago
SciPort: An Adaptable Scientific Data Integration Platform for Collaborative Scientific Research
Scientific data are posing new challenges to data management due to the large volume, complexity and heterogeneity of the data. Meanwhile, scientific collaboration becomes increas...
Fusheng Wang, Pierre-Emmanuel Bourgue, Georg Hacke...
PPOPP
2010
ACM
16 years 3 months ago
Lazy binary-splitting: a run-time adaptive work-stealing scheduler
We present Lazy Binary Splitting (LBS), a user-level scheduler of nested parallelism for shared-memory multiprocessors that builds on existing Eager Binary Splitting work-stealing...
Alexandros Tzannes, George C. Caragea, Rajeev Baru...
IUI
2010
ACM
16 years 3 months ago
An adaptive calendar assistant using pattern mining for user preference modelling
In this paper, we present SmartCal, a calendar assistant that suggests appointment attributes, such as time, day, duration, etc., given any combination of initial user input attri...
Alfred Krzywicki, Wayne Wobcke, Anna Wong