Using a multi scale dataset for climate data, they demonstrated a cloud based large scale data integration and analytics approach where they made use of tools such as RapidMiner and Hadoop to process the data in a hybrid cloud.
Co-founder Ajay Anand was the Director of Product Management for Hadoop and Cloud Computing at Yahoo, and was responsible for driving the development and adoption of Hadoop based infrastructure for large scale data analytics across Yahoo.
These systems provide the ability of large scale data storage and effective data operations based on primary keys, but they do not efficiently support the range and k-Nearest Neighbor (kNN) queries on multi-dimensional datasets.
This method is based on the advantages of rough set in processing large scale data.
Large scale data sharing No. Yes.
In addition, our specially developed computational techniques based on dynamic programming will enable the model to be efficiently applied to complex sequences and large scale data.
Such large-scale data mining and analytics — based on information available in public records, consumer surveys and the like — are perfectly legal.
Those methods are designed for large-scale data, while other methods based on statistical models have been proposed, like Bayesian method included probe-level measurement error (BPLME) [14], and FS test [20].
The research, based on large-scale data on pesticide use, crop yields, and honeybee losses spanning 11 years, looked at the effects of coating seeds with imidacloprid in nine regions between 2000 and 2010.
The false discovery rate (FDR) [16], ranking analysis of microarray data (RAM) [17], FDR-base methods [17], and optional discovery procedure (ODP) [18] identify DEGs through ranking the statistics of any statistical method based on large-scale data.
