Anomaly detection in scientific data using joint statistical moments
We propose an anomaly detection method for multi-variate scientific data based on analysis
of high-order joint moments. Using kurtosis as a reliable measure of outliers, we suggest that …
of high-order joint moments. Using kurtosis as a reliable measure of outliers, we suggest that …
Parallel algorithms for nearest neighbor search problems in high dimensions
The nearest neighbor search problem in general dimensions finds application in
computational geometry, computational statistics, pattern recognition, and machine learning …
computational geometry, computational statistics, pattern recognition, and machine learning …
Computation mapping for multi-level storage cache hierarchies
M Kandemir, SP Muralidhara, M Karakoy… - Proceedings of the 19th …, 2010 - dl.acm.org
Improving I/O performance is an important issue for many data-intensive, large-scale parallel
applications. Although storage caches are used for improving I/O latencies of parallel …
applications. Although storage caches are used for improving I/O latencies of parallel …
[PDF][PDF] Recherche, Innovation et Formations sur le Big Data aux Etats-Unis
S Fischman - 2013 - france-science.com
L'évolution récente des technologies (Internet, smart phones, appareils photos, caméras,
satellites...) a fait exploser la quantité de données créées et stockées. Chaque jour, 540 …
satellites...) a fait exploser la quantité de données créées et stockées. Chaque jour, 540 …
[引用][C] Position Paper: Algorithmic Primitives for Exascale Computational Discrete Mathematics
JR Gilbert - 2013