Journal ArticleDOI
Data and knowledge mining with big data towards smart production
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TLDR
This paper reviews the development of D MTs in the big data era, and makes discussion on the applications of DMTs in production management, by selecting and analyzing the relevant papers since 2010.About:
This article is published in Journal of Industrial Information Integration.The article was published on 2017-09-01. It has received 173 citations till now. The article focuses on the topics: Big data & Production manager.read more
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Industry 4.0: state of the art and future trends
TL;DR: The state of the art in the area of Industry 4.0 as it relates to industries is surveyed, with a focus on China's Made-in-China 2025 and formal methods and systems methods crucial for realising Industry 5.0.
Journal ArticleDOI
Industry 5.0: A survey on enabling technologies and potential applications
Praveen Kumar Reddy Maddikunta,Quoc-Viet Pham,B. Prabadevi,N. Deepa,Kapal Dev,Thippa Reddy Gadekallu,Rukhsana Ruby,Madhusanka Liyanage +7 more
TL;DR: This paper aims to provide a survey-based tutorial on potential applications and supporting technologies of Industry 5.0 from the perspective of different industry practitioners and researchers.
Journal ArticleDOI
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
Shan Ren,Yingfeng Zhang,Yang Liu,Yang Liu,Tomohiko Sakao,Donald Huisingh,Cecília M.V.B. Almeida +6 more
TL;DR: Smart manufacturing has received increased attention from academia and industry in recent years, as it provides competitive advantage for manufacturing companies making industry more efficient and more efficient as discussed by the authors. But, the benefits of smart manufacturing are limited.
Journal ArticleDOI
Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry
TL;DR: This novel approach integrates machine learning and real-time industrial big data to train and optimize digital twin models and can support petrochemical and other process manufacturing industries to dynamically adapt to the changing environment.
Journal ArticleDOI
Big data analytics in smart grids: a review
TL;DR: The characterizations of big data, smart grids as well as huge amount of data collection are discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids.
References
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Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Proceedings ArticleDOI
Mining association rules between sets of items in large databases
TL;DR: An efficient algorithm is presented that generates all significant association rules between items in the database of customer transactions and incorporates buffer management and novel estimation and pruning techniques.
Proceedings ArticleDOI
Mining sequential patterns
TL;DR: Three algorithms are presented to solve the problem of mining sequential patterns over databases of customer transactions, and empirically evaluating their performance using synthetic data shows that two of them have comparable performance.
Book
Big data: The next frontier for innovation, competition, and productivity
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Book
Building the data warehouse
TL;DR: This Second Edition of Building the Data Warehouse is revised and expanded to include new techniques and applications of data warehouse technology and update existing topics to reflect the latest thinking.