Sentence examples for manage large datasets from inspiring English sources
Existing clustering algorithms require scalable solutions to manage large datasets.
Hadoop may be used over Spark for the other following reasons: low-cost hardware, lower latency value, and the capacity to manage large datasets with the help of an HDFS.
We apply the Hadoop MapReduce standard K-means clustering algorithm to manage large datasets and introduce a new metric for similarity measurements such that the distances between objects exhibit high levels of intra-cluster similarity and low levels of inter-cluster similarity.
Yet, at the same time, it is able to manage large datasets and to overcome sequencing errors.
The tremendous increase in molecular data permits phylogenetic analyses of very long sequences and of many species, but also requires methods to help manage large datasets.
g-FLUA2H is facilitated by a grid back-end to manage large datasets, as there are currently more than 500,000 sequences of influenza A virus reported in the public Influenza Research Database (IRD; http://www.fludb.org/).
There is a need to manage such large volumes of data and to cluster them easily for data analytics while minimizing maximum inter-cluster distances and managing large datasets.
Our data-driven categories may be one useful approach, and computer-assisted coding and extraction of themes may be another way managing large datasets.
This is a commercial extension that offers a set of components for accessing Apache Hadoop Mapreduce framework (distributed storage and distributed processing on clusters) and Apache Hive (data warehouse software for querying and managing large datasets residing in distributed storage).
The main purpose of HELPNI is to store and manage large diverse imaging datasets to facilitate neuroimaging researches with complicated processes and large amount of data.
Data grids, characterized by their goal to manage large-scale dataset, are promising platforms to support sharing of geographically dispersed learning content.
