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PODS
2009
ACM
119views Database» more  PODS 2009»
15 years 12 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
MOBISYS
2009
ACM
15 years 12 months ago
Longitudinal study of a building-scale RFID ecosystem
Radio Frequency IDentification (RFID) deployments are becoming increasingly popular in both industrial and consumer-oriented settings. To effectively exploit and operate such depl...
Evan Welbourne, Karl Koscher, Emad Soroush, Magdal...
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
15 years 11 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
KDD
2008
ACM
176views Data Mining» more  KDD 2008»
15 years 11 months ago
Febrl -: an open source data cleaning, deduplication and record linkage system with a graphical user interface
Matching records that refer to the same entity across databases is becoming an increasingly important part of many data mining projects, as often data from multiple sources needs ...
Peter Christen
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
15 years 11 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon