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» Informative sampling for large unbalanced data sets
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128
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CIARP
2003
Springer
15 years 7 months ago
Uniclass and Multiclass Connectionist Classification of Dialogue Acts
Classification problems are traditionally focused on uniclass samples, that is, each sample of the training and test sets has one unique label, which is the target of the classific...
María José Castro Bleda, David Vilar...
150
Voted
IVC
2002
148views more  IVC 2002»
15 years 3 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
145
Voted
SIGMOD
2010
ACM
362views Database» more  SIGMOD 2010»
14 years 10 months ago
Data warehousing and analytics infrastructure at facebook
Scalable analysis on large data sets has been core to the functions of a number of teams at Facebook - both engineering and nonengineering. Apart from ad hoc analysis of data and ...
Ashish Thusoo, Zheng Shao, Suresh Anthony, Dhruba ...
149
Voted
CORR
2011
Springer
200views Education» more  CORR 2011»
14 years 10 months ago
Distributed Inference and Query Processing for RFID Tracking and Monitoring
In this paper, we present the design of a scalable, distributed stream processing system for RFID tracking and monitoring. Since RFID data lacks containment and location informati...
Zhao Cao, Charles Sutton, Yanlei Diao, Prashant J....
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
15 years 9 months ago
Pruning Social Networks Using Structural Properties and Descriptive Attributes
Scale is often an issue with understanding and making sense of large social networks. Here we investigate methods for pruning social networks by determining the most relevant rela...
Lisa Singh, Lise Getoor, Louis Licamele