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Industrial big data refers to a large amount of diversified time series generated at a high speed by industrial equipment, [1] known as the Internet of things. [2] The term emerged in 2012 along with the concept of "Industry 4.0”, and refers to big data”, popular in information technology marketing, in that data created by industrial equipment might hold more potential business value. [3]
The phrase Fourth Industrial Revolution was first introduced by a team of scientists developing a high-tech strategy for the German government. [13] Klaus Schwab, executive chairman of the World Economic Forum (WEF), introduced the phrase to a wider audience in a 2015 article published by Foreign Affairs. [14] "
Big data analytics allows an enterprise to use smart manufacturing to predict demand and the need for design changes rather than reacting to orders placed. [2] Some products have embedded sensors, which produce large amounts of data that can be used to understand consumer behavior and improve future versions of the product. [9] [10] [11]
Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...
The Journal of Business & Economic Statistics is a quarterly peer-reviewed academic journal published by the American Statistical Association. [1] The journal covers a broad range of applied problems in business and economic statistics, including forecasting, seasonal adjustment, applied demand and cost analysis, applied econometric modeling, empirical finance, analysis of survey and ...
AStA Advances in Statistical Analysis is a peer-reviewed mathematics journal published quarterly by Springer Science+Business Media and the German Statistical Society. It was established in 2007, and covers statistical theory , methods, methodological developments, as well as probability and mathematics applications.
Principles and Procedures of Statistics with Special Reference to the Biological Sciences. Authors: Steel, R.G.D, and Torrie, J. H. Publication data: McGraw Hill (1960) 481 pages Description: Excellent introductory text for analysis of variance (one-way, multi-way, factorial, split-plot, and unbalanced designs). Also analysis of co-variance ...
INFORMS Journal on Applied Analytics is a bimonthly peer-reviewed academic journal about operations research that was established in 1970 under the title Interfaces by The Institute of Management Sciences, now part of the Institute for Operations Research and the Management Sciences. The journal has a case-study style: it offers examples of how ...