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This book provides a relatively whole view of data-driven decision-making methods for energy service innovation and energy system optimization. Through personalized energy services provision and energy efficiency improvement, the book can contribute to the green transformation of energy system and the sustainable development of the society. Meer
This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. Meer
Written for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. Meer
This book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2022), held in Bangkok, Thailand, during September 2–3, 2022. Meer
This book focuses on research methodologies that apply to business research, particularly for researchers and managers embarking thereon to support managerial decision-making in the industry. Meer
Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. Meer
Improving operating leverage is about operational resilience, structural operational efficiency, and sustainable revenue growth. Activity-based enterprise non-interest cost management is an important component of enterprise risk adjusted return management methodology. Meer
Embark on a journey to business evolution grounded in the real-world experiences and challenges faced by those at the forefront of the Web2 revolution. Meer
Open source accounts for approximately 90 percent of modern software development, yet the demand for such technology skills continues to grow. Consequently, companies are having a difficult time hiring the right talent. Meer
In today's global market, supply chain management has become more critical than ever. This book delves into the strategic, operational, and technological aspects of supply chains, offering insights and practical solutions to create a seamless and resilient supply network. Meer
This book provides interpretation of China’s logistics development in a new development paradigm and the rural logistics construction under the Rural Revitalization Strategy. Meer
Examines a wide range of topical subjects in a structured format to help educators impart the value of combining lean management with supply chain management. Meer
Covers the vast field of business information systems, focusing particularly on developing information systems to capture and integrate information technology together with the people and their businesses. Meer
This book explores China’s global competitiveness in the building of infrastructures with a particular interest in the resource-rich African countries. Meer
The title of this book is Techniques in Corporate Manpower Planning: Methods and Applications. Manpower planning, also called personnel plan ning, implies the analysis of possible discrepancies in the future between personnel demand and supply. Meer
This book comprises select peer-reviewed contributions from the 6th International Conference on Production and Industrial Engineering (CPIE – 2019). Meer
This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. Meer
These notes originate from a couple of lectures which were given in the Econometric Workshop of the Center for Operations Research and Econometrics (CORE) at the Catholic University of Louvain. Meer
1 1. Statement of the problem. Bayes' theorem provides a very powerful tool for statistical inference, especially when pooling information from different sources is appropriate. Meer
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