Titlebook: Big Data Analysis: New Algorithms for a New Society; Nathalie Japkowicz,Jerzy Stefanowski Book 2016 Springer International Publishing Swit

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2197-6503 ithms and applications.Includes supplementary material: .This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. ..It demonstrates that Big Data Analysis opens up new research problems which were either

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G. K. C. Wong,X. L. Zhu,W. S. Poonrk into separate homogeneous networks, followed by concatenating the structural context vectors calculated from separate homogeneous networks with the bag-of-words vectors obtained from textual information contained in certain network nodes. The approach is show-cased on the analysis of two real-life text-enriched heterogeneous citation networks.

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https://doi.org/10.1007/978-3-030-59436-7er presents the overall perspective for data analysis software for genomics and prospects for the emerging applications. To show genomic big data analysis in practice, a case study of the SparkSeq system that delivers tool for biological sequence analysis is presented.

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Analysis of Text-Enriched Heterogeneous Information Networks,rk into separate homogeneous networks, followed by concatenating the structural context vectors calculated from separate homogeneous networks with the bag-of-words vectors obtained from textual information contained in certain network nodes. The approach is show-cased on the analysis of two real-life text-enriched heterogeneous citation networks.

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A Machine Learning Perspective on Big Data Analysis,g, which is based on machine learning, reviews its achievements and discusses its impact on science and society. The chapter concludes with a summary of the book’s contributing chapters divided into problem-centric and domain-centric essays.

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