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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The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system
TL;DR: It was observed that with the increase in the number of features in the data set, the accuracy, sensitivity, TPR, TNR, F1 score and Kappa metrics increased above 99% at 95% confidence interval, and FPR and FNR metrics fell below 1%.
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The impact of Big Data analytics and data security practices on service supply chain performance
TL;DR: In this paper, the authors investigate the effects of Big Data analytics, data security and service supply chain innovation capabilities on services supply chain performance and propose a theoretical model to investigate the effect of big data analytics on services.
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Opportunities for and Pitfalls of Using Big Data in Advertising Research
Edward C. Malthouse,Hairong Li +1 more
TL;DR: A conceptual framework for understanding the different types of digital advertising touch points that create big data is proposed, and specific opportunities for advertising researchers to use big data are identified.
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Big data with cloud computing: Discussions and challenges
TL;DR: In this paper , an overview of the literature focusing on the issues, difficulties, and potential applications of big data and cloud computing is presented, such as improved data processing capabilities, increased scalability, and cost reduction.
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Blending Big Data Analytics: Review on Challenges and a Recent Study
Fairuz Amalina,Ibrahim Abaker Targio Hashem,Zati Hakim Azizul,Ang Tan Fong,Ahmad Firdaus,Muhammad Imran,Nor Badrul Anuar +6 more
TL;DR: This paper explores how big data analytics is utilized as a technique for solving problems of complex and unstructured data using such technologies as Hadoop, Spark, and MapReduce, and investigates case studies of big data Analytics on various techniques of such analytics, namely, text, voice, video, and network analytics.
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