Exact(1)
We describe a framework, called DataCutter, that is designed to provide support for subsetting and processing of datasets in a distributed and heterogeneous environment.
Similar(59)
Hadoop is one of the most popular open-source software frameworks with MapReduce based approach for distributed storage and processing of large datasets using standalone clusters built from commodity hardware.
To enhance the resolution power of the method, a great help is provided by the recently developed electrical resistivity tomography (ERT) approach, which involves the acquisition and processing of large datasets.
Recent years have witnessed an enormous growth of interest in efficient paradigms and techniques for representation, analysis, and processing of large-scale datasets emerging in various fields and applications, such as sensor and transportation networks, social networks and economic networks, and energy networks [1, 2].
The future work with the apparatus will be aimed at generating and processing of further larger datasets for further verification of the hypotheses presented in this paper.
Such contextual information is of uttermost importance for the processing of datasets and with the retrieval of scientific documents, providing e.g. the key information on provenance and characteristics of research activities that are needed when searching for data or scholarly content.
Because efficient implementations allow fast processing of datasets with tens of thousands of genes and hundreds of cells without overfitting, it is a promising tool for analysing such datasets.
This allows processing of datasets of arbitrary number of entries.
Adaptive-Miner uses an adaptive strategy based on the partial processing of datasets.
In the animal locomotion scenario at hand, however, a real-time processing of datasets is not of primary importance.
Besides that, our study also revealed that more resources can be utilized to speed up the processing of datasets having similar size like ours.
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