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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Development of Cost and Schedule Data Integration Algorithm Based on Big Data Technology
Daegu Cho,Myungdo Lee,Jihye Shin +2 more
TL;DR: In this paper, the authors proposed a data processing algorithm for integrated cost-schedule data management employing big data technology, which is designed to resolve the main obstacle to the practicality of existing methods.
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Understanding and Defining Dark Data for the Manufacturing Industry
TL;DR: In this paper , the authors explore the dark data through a systematic literature review and three focus groups with manufacturing companies and provide a valuable support for manufacturing companies to be aware of the presence of dark data in their scenarios, to identify them, and to stimulate initiatives for dark data exploitation.
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Ant Cat Swarm Optimization-Enabled Deep Recurrent Neural Network for Big Data Classification Based on Map Reduce Framework
Proceedings ArticleDOI
Logistic Principle Component Analysis (L-PCA) for Feature Selection in Classification
TL;DR: This work improves the effectiveness of PCA by means of utilizing the Logistic Function to become Logistic Principle Component Analysis (L-PCA), and reveals that L- PCA is superior to PCA and able to select crucial features more efficiently.
Proceedings ArticleDOI
Using Data Analytics and Visualization Dashboard for Engineering, Procurement, and Construction Project's Performance Assessment
Ahmed Al-Sulaiti,Manal M. Mansour,Hussein Al-Yafei,Saleh Aseel,Murat Kucukvar,Nuri Cihat Onat +5 more
TL;DR: In this article, the authors demonstrate the application of design principles for tools in Engineering, Procurement, and Construction (EPC) projects for project management purposes and advocate the use of proper data analytics and visualization that can be implemented to support effective project progress reporting as well as performance monitoring.
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