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» Parallel PSO using MapReduce
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POPL
1989
ACM
14 years 17 days ago
How to Make ad-hoc Polymorphism Less ad-hoc
raction that a programming language provides influences the structure and algorithmic complexity of the resulting programs: just imagine creating an artificial intelligence engine ...
Philip Wadler, Stephen Blott
SIGMOD
2012
ACM
288views Database» more  SIGMOD 2012»
11 years 11 months ago
Exploiting MapReduce-based similarity joins
Cloud enabled systems have become a crucial component to efficiently process and analyze massive amounts of data. One of the key data processing and analysis operations is the Sim...
Yasin N. Silva, Jason M. Reed
WWW
2010
ACM
14 years 3 months ago
Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce
The Web abounds with dyadic data that keeps increasing by every single second. Previous work has repeatedly shown the usefulness of extracting the interaction structure inside dya...
Chao Liu, Hung-chih Yang, Jinliang Fan, Li-Wei He,...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 9 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
SIGMOD
2010
ACM
207views Database» more  SIGMOD 2010»
14 years 1 months ago
Automatic contention detection and amelioration for data-intensive operations
To take full advantage of the parallelism offered by a multicore machine, one must write parallel code. Writing parallel code is difficult. Even when one writes correct code, the...
John Cieslewicz, Kenneth A. Ross, Kyoho Satsumi, Y...