Critical analysis of Big Data challenges and analytical methods
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In this article, the authors present a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.About:
This article is published in Journal of Business Research.The article was published on 2017-01-01 and is currently open access. It has received 1267 citations till now. The article focuses on the topics: Analytics & Big data.read more
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Machine learning for the life-time risk prediction of Alzheimer's disease: a systematic review.
Thomas W Rowe,Ioanna Katzourou,Joshua Stevenson-Hoare,Matthew Bracher-Smith,Dobril Ivanov,Valentina Escott-Price +5 more
TL;DR: In this article, the authors systematically reviewed the use of machine learning algorithms for predicting Alzheimer's disease using single nucleotide polymorphisms and instances where these were combined with other types of data.
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Exploring the phenomenon of HR analytics: a study of challenges, risks and impacts in 40 large companies
Charles Cayrat,Peter Boxall +1 more
TL;DR: In this paper , the authors analyzed data from semistructured interviews with an HRA leader or specialist in 40 large organizations and found that the majority can demonstrate improvement in the efficiency and effectiveness of HR activities through predictive analytics.
Journal ArticleDOI
Architecture and Optimization of Data Mining modeling for Visualization of Knowledge Extraction: Patient Safety Care
TL;DR: A new approach of architecture and optimization of data mining modeling for visualization of knowledge extraction by analyzing clinical data sets to define the determinant attributes through modeling techniques to integrate applications with domain contexts for the optimal and understandable decision process is proposed.
Journal ArticleDOI
Orchestrating and sharing large multimodal data for transparent and reproducible research
Anthony Mammoliti,Anthony Mammoliti,Petr Smirnov,Petr Smirnov,Minoru Nakano,Zhaleh Safikhani,Zhaleh Safikhani,Christopher Eeles,Heewon Seo,Heewon Seo,Sisira Kadambat Nair,Arvind Singh Mer,Arvind Singh Mer,Ian Smith,Ian Smith,Chantal Ho,Gangesh Beri,Rebecca Kusko,Eva Lin,Yihong Yu,Scott E. Martin,Marc Hafner,Benjamin Haibe-Kains +22 more
TL;DR: In this article, the authors present a cloud-computing platform called ORCESTRA that facilitates reproducible processing of multimodal biomedical data using customizable pipelines and well-documented data objects.
Dissertation
A Distributed Analysis Framework for Heterogeneous Data Processing in HEP Environments
TL;DR: A novel workload-aware approach for distributed file system storage and processing solutions a Mixed Partitioning Scheme Replication is proposed, which takes advantage of both replication and partitioning in order to improve the efficiency of the underlying engine.
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