| Document Date: 2012-04-01 20:13:23
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City Bradford / Lyon / / Company IBM / Amazon / SPRINT / Google / MapReduce / Yahoo! / ACM / / / IndustryTerm sponsored search advertising / massive-scale parallel computing / parallel algorithms / data mining operations / decision tree induction algorithm / computational advertising / data mining / distributed computing / important systems / data mining task / tree learning algorithms / in-memory algorithm / formal algorithm / sponsored search / greedy learning algorithm / greedy tree induction algorithm / on cloud computing services / technology / sponsored search advertisement / proposed computing / offer software / data mining models / ccNUMA parallel computing platform / commodity hardware / sponsored search ad / message-passing systems / computing / to tree algorithms / search query / search ads / parallel computing architectures / tree learning algorithm / search engine / / Organization VLDB Endowment / Very Large Data Base Endowment / / Person Forward Scheduling / Joshua S. Herbach / / Position simple model in each region / simple model for distributed computing / worker / Forward / Controller / / ProvinceOrState MRQ / / Technology greedy tree induction algorithm / RAM / known algorithms / tree learning algorithm / bagging algorithm / search engine / machine learning / using Algorithm / shared memory / C4.5 decision tree induction algorithm / tree learning algorithms / memory constraint limiting Algorithm / greedy learning algorithm / GEM algorithm / data mining / in-memory Algorithm / / URL http /
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PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce Biswanath Panda, Joshua S. Herbach, Sugato Basu, Roberto J. Bayardo Google, Inc. [bpanda, jsherbach, sugato]@google.com, [removed]