Tensors and tensor decompositions, a powerful set of new data mining tools that can be used to model and extract knowledge from multidimensional data, can be automated for more widespread use in Big Data applications. The effectiveness of these innovative tools in a variety of data modeling scenarios is demonstrated in an article published in Big Data, the highly innovative, peer-reviewed journal from Mary Ann Liebert, Inc., publishers (http://www.liebertpub.com/). The article is available free on the Big Data (http://online.liebertpub.com/doi/full/10.1089/big.2016.0026) website until November 4, 2016.
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