Chemometrics: from Data Preprocessing to Fog Computing

Dumancas, G, Bello, G, Hughes, J, Murimi, R, Viswanath, L, Orndorff, C, Fe Dumancas, G, O'Dell, J, Ghimire, P and Setijadi, C 2019, 'Chemometrics: from Data Preprocessing to Fog Computing', International Journal of Fog Computing, vol. 2, no. 1, pp. 1-42.

Document type: Journal Article
Collection: Journal Articles

Title Chemometrics: from Data Preprocessing to Fog Computing
Author(s) Dumancas, G
Bello, G
Hughes, J
Murimi, R
Viswanath, L
Orndorff, C
Fe Dumancas, G
O'Dell, J
Ghimire, P
Setijadi, C
Year 2019
Journal name International Journal of Fog Computing
Volume number 2
Issue number 1
Start page 1
End page 42
Total pages 42
Publisher I G I Global
Abstract The accumulation of data from various instrumental analytical instruments has paved a way for the application of chemometrics. Challenges, however, exist in processing, analyzing, visualizing, and storing these data. Chemometrics is a relatively young area of analytical chemistry that involves the use of statistics and computer applications in chemistry. This article will discuss various computational and storage tools of big data analytics within the context of analytical chemistry with examples, applications, and usage details in relation to fog computing. The future of fog computing in chemometrics will also be discussed. The article will dedicate particular emphasis to preprocessing techniques, statistical and machine learning methodology for data mining and analysis, tools for big data visualization, and state-of-the-art applications for data storage using fog computing.
Subject Quality Assurance, Chemometrics, Traceability and Metrological Chemistry
Pattern Recognition and Data Mining
Keyword(s) Big Data Analytics
Fog Computing
Partial Least Squares
Pattern Recognition
Principal Component Analysis
Principal Component Regression
DOI - identifier 10.4018/IJFC.2019010101
Copyright notice Copyright © 2019, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
ISSN 2572-4908
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Created: Mon, 29 Apr 2019, 13:04:00 EST by Catalyst Administrator
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