The dataset, which the researchers have made available on the Open Reaction Database, is nearly five times as large as the ...

Abstract: Protein-protein interactions are of great significance for human to understand the functional mechanisms of proteins. With the rapid development of high-throughput genomic technologies, ...

Abstract: Distributed and Parallel algorithms have attracted a vast amount of interest and research in recent decades, to handle large-scale data set in real-world applications. In this paper, we ...

Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories ...

Intelligent big data analysis is an evolving pattern in the age of big data science and artificial intelligence (AI). Analysis of organized data has been very successful, but analyzing human behavior ...

Wordbatch parallelizes task pipelines as minibatches processed by a chosen scheduler backend. This allows the user to develop AI programs on a local workstation or laptop, and scale the same solution ...