However, large scale data on the effectiveness of the therapy is lacking.
MapReduce [1] is considered one of the most prominent programming models for problems of large scale data processing of which the cluster analysis.
Although there is a variety of parallel programming models, the MapReduce paradigm is considered as the most prominent model for problems of large scale data processing of which the clustering.
Therefore, we focused this study on the analysis of IVI using large-scale data of the Utstein template in Japan.
One is 'Predictand' (rainfall) which are local data, and the other one is 'Predictors' NCEP and simulated GCM data), which are large-scale data of different atmospheric variables.
The large-scale data of human brain connectivity offers the opportunity to understand the links between brain structure and function at the regional level [15].
The availability of large-scale data of phenotype-genotype associations like OMIM, CTD [ 19], and PharmGKB [ 20] provides valuable resources for studying disease-gene associations.
Large-scale data of protein-protein interactions have become available from several organisms, including Saccharomyces cerevisiae (yeast; [ 1- 4]), Caenorhabditis elegans (worm; [ 5]), Drosophila melanogaster (fly; [ 6]), Homo sapiens (human; [ 7, 8]), and Plasmodium falciparum (malaria parasite; [ 9]).
The availability of large-scale data of intra-nuclear proteins provides a unique opportunity to explore different features for characterizing individual compartments on basis of their protein complement and for discriminating proteins of one compartment from another.
With new apps providing large scale data, this type of wellness tracking will also result in medical knowledge being able to advance at breakneck speeds.
