Hyper-v
Building Time-Series Clustering and Correlation Service for Big
Building Time-Series Clustering and Correlation Service for Big Data – Alexander Shereshevsky
#Building #TimeSeries #Clustering #Correlation #Service #Big
“hayaData”
Real-time similarity measurements can be challenging at a large scale in real-time. Usually, this problem is solved using approximation models calculated in advance (LSH-based) for finding suitable candidates during the serving phase.
We presented how Anodot uses LSH similarity approximation…
source
To see the full content, share this page by clicking one of the buttons below |