This book seeks to give readers with a preliminary but critical introduction and summary of e-commerce and big data analysis. This book introduces how to achieve data acquisition and pre-processing. Specifically, this book provides three representative and interesting scenarios to demonstrate the application of e-commerce and big data analysis, i.e., trajectory big data mining technology, e-commerce fraud and anti-fraud, and recommendation system. Also this book provides the basic and illustrative operation steps of python programming language for e-commerce and big data analysis. By reading this book, readers can learn the basic concepts and principles of e-commerce and big data analysis.

This book provides essential information on emergency management. It is composed of two parts, addressing the basic theory and related methods of emergency management, including risk management, coordination management, crisis management and disaster management. By putting the emphasis on interdisciplinary, systematic perspectives and building a bridge between basic knowledge and further research, it is well suited as an emergency management textbook and offers a valuable guide to prepare readers for their future emergency management careers.

This book collects high-quality papers on the latest fundamental advances in the state of Econophysics and Management Science, providing insights that address problems concerning the international economy, social development and economic security. This book applies the multi-fractal detrended class method, and improves the method with different filters. The authors apply those methods to a variety of areas: financial markets, energy markets, gold market and so on. This book is arguably a systematic research and summary of various kinds of multi-fractal detrended methods. Furthermore, it puts forward some investment suggestions on a healthy development of financial markets.

The general purpose of ventilation in buildings is to provide healthy air for breathing by both diluting the pollutants originating in the building and removing the pollutants from it. Building ventilation plays a strong role for the good health, comfort, security and productivity of inhabitants, workers and visitors. Many new challenges with energy and pollution implications have arisen, including the identification and control of contaminant sources, fast building design requirements, online demand, sustainability and climate change adaptation. This comprehensive research reference covers state of the art research starting with ventilation systems including duct network and fluid machinery, air cleaning technologies, air distribution in mechanical ventilation systems, air distribution in natural ventilation system, and heating and cooling systems. The authors then present innovating methods for the design, control and testing including system design, numerical methods, fast predictions methods, testing methods and maintenance. The book concludes with applications in industrial buildings, high-rise buildings and urban areas. Handbook of Ventilation Technology for the Built Environment is a complete guide to the field, providing invaluable information for scientists, researchers and engineers from academia and industry who are looking to broaden or update their knowledge. It is also a useful resource for policy makers, facility managers, regulators and standards bodies in the field.

This book is the first work to conduct the emergency logistics optimization problem under the epidemic environment (whether natural or man-made), which provides a new perspective for the application of optimization theory. In this book, the research methods involve epidemic dynamics, scenario-based emergency decision-making method, big data which combines the traditional and emerging technologies. The authors take epidemic outbreak as the research object and deeply integrate the epidemic spread model with the optimization model of emergency resource scheduling, which opens up a novel application area of operations research.

This book is the first work to conduct the emergency logistics optimization problem under the epidemic environment (whether natural or man-made), which provides a new perspective for the application of optimization theory. In this book, the research methods involve epidemic dynamics, scenario-based emergency decision-making method, big data which combines the traditional and emerging technologies. The authors take epidemic outbreak as the research object and deeply integrate the epidemic spread model with the optimization model of emergency resource scheduling, which opens up a novel application area of operations research.

This book provides essential information on emergency management. It is composed of two parts, addressing the basic theory and related methods of emergency management, including risk management, coordination management, crisis management and disaster management. By putting the emphasis on interdisciplinary, systematic perspectives and building a bridge between basic knowledge and further research, it is well suited as an emergency management textbook and offers a valuable guide to prepare readers for their future emergency management careers.

This book collects high-quality papers on the latest fundamental advances in the state of Econophysics and Management Science, providing insights that address problems concerning the international economy, social development and economic security. This book applies the multi-fractal detrended class method, and improves the method with different filters. The authors apply those methods to a variety of areas: financial markets, energy markets, gold market and so on. This book is arguably a systematic research and summary of various kinds of multi-fractal detrended methods. Furthermore, it puts forward some investment suggestions on a healthy development of financial markets.

This book constitutes the refereed proceedings of the 6th International Conference on Data Science, ICDS 2019, held in Ningbo, China, during May 2019. The 64 revised full papers presented were carefully reviewed and selected from 210 submissions. The research papers cover the areas of Advancement of Data Science and Smart City Applications, Theory of Data Science, Data Science of People and Health, Web of Data, Data Science of Trust and Internet of Things.

The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud.