Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
Naive Geography’s premise “Topology matters, metric refines” calls for metric properties that provide opportunities for finergrained distinctions than the purely qualitative...
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...
James C. Bezdek, Richard J. Hathaway, Christopher ...
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the targ...
We introduce a benchmark called TEXTURE (TEXT Under RElations) to measure the relative strengths and weaknesses of combining text processing with a relational workload in an RDBMS...
Vuk Ercegovac, David J. DeWitt, Raghu Ramakrishnan