Mining in a mobile environment

9 years 9 months ago
Mining in a mobile environment
Distributed PRocessing in Mobile Environments (DPRiME) is a framework for processing large data sets across an ad-hoc network. Developed to address the shortcomings of Google’s MapReduce outside of a fully-connected network, DPRiME separates nodes on the network into a master and workers; the master distributes sections of the data to available onehop workers to process in parallel. Upon returning results to its master, a worker is assigned an unfinished task. Five data mining classifiers were implemented to process the data: decision trees, k-means, k-nearest neighbor, Na¨ıve Bayes, and artificial neural networks. Ensembles were used so the classification tasks could be performed in parallel. This framework is well-suited for many tasks because it handles communications, node movement, node failure, packet loss, data partitioning, and result collection automatically. Therefore, DPRiME allows users with little knowledge of networking or distributed systems to harness the proce...
Sean McRoskey, James Notwell, Nitesh V. Chawla, Ch
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where KDD
Authors Sean McRoskey, James Notwell, Nitesh V. Chawla, Christian Poellabauer
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