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» Evaluating algorithms that learn from data streams
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SIGIR
2009
ACM
15 years 11 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
COMAD
2009
15 years 5 months ago
On the Complexity of Multi-Query Optimization in Stream Grids
Stream grids are wide-area grid computing environments that are fed by a set of stream data sources. Such grids are becoming more wide-spread due to the large scale deployment of ...
Saikat Mukherjee, Srinath Srinivasa, Krithi Ramamr...
CLOUDCOM
2010
Springer
15 years 2 months ago
Evaluation of MapReduce for Gridding LIDAR Data
-- The MapReduce programming model, introduced by Google, has become popular over the past few years as a mechanism for processing large amounts of data, using sharednothing parall...
Sriram Krishnan, Chaitanya K. Baru, Christopher J....
PLDI
2010
ACM
15 years 9 months ago
Bamboo: a data-centric, object-oriented approach to many-core software
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Jin Zhou, Brian Demsky
EDM
2009
175views Data Mining» more  EDM 2009»
15 years 2 months ago
Detecting Symptoms of Low Performance Using Production Rules
E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning materia...
Javier Bravo Agapito, Alvaro Ortigosa