The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
We present an automatic skew mitigation approach for userdefined MapReduce programs and present SkewTune, a system that implements this approach as a drop-in replacement for an e...
YongChul Kwon, Magdalena Balazinska, Bill Howe, Je...
MapReduce has emerged as a promising architecture for large scale data analytics on commodity clusters. The rapid adoption of Hive, a SQL-like data processing language on Hadoop (...
Background: A JavaTM application is presented, which compares large numbers (n > 100) of raw FTICR mass spectra from patients and controls. Two peptide profile matrices can be ...
Mark K. Titulaer, Dana A. N. Mustafa, Ivar Siccama...
In this paper, we present a scalable algorithm for indexing and retrieving images based on region segmentation. The method uses statistical clustering on region features and IRM (...