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» Mining time-changing data streams
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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
WSDM
2012
ACM
290views Data Mining» more  WSDM 2012»
12 years 3 months ago
Online selection of diverse results
The phenomenal growth in the volume of easily accessible information via various web-based services has made it essential for service providers to provide users with personalized ...
Debmalya Panigrahi, Atish Das Sarma, Gagan Aggarwa...
IPPS
2007
IEEE
14 years 1 months ago
Probability Convergence in a Multithreaded Counting Application
The problem of counting specified combinations of a given set of variables arises in many statistical and data mining applications. To solve this problem, we introduce the PDtree...
Chad Scherrer, Nathaniel Beagley, Jarek Nieplocha,...
RTSS
2006
IEEE
14 years 1 months ago
Voice over Sensor Networks
Wireless sensor networks have traditionally focused on low duty-cycle applications where sensor data are reported periodically in the order of seconds or even longer. This is due ...
Rahul Mangharam, Anthony Rowe, Raj Rajkumar, Ryohe...
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
14 years 8 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...