Yu Zheng – författare

China is undergoing a dramatic transition from the old to the new as the country integrates into global product and labour markets. Managing Human Resources in China examines the emergence of new and hybrid forms of employment practices within Chinese Multinational Corporations (MNCs) from the perspective of local stakeholders. These include managers, workers and government officials, who take part in strategic planning and policy implementation whilst coping with the pressure of an ever-changing environment. Working in and observing four foreign-invested manufacturing plants located in one of China's new industrial clusters, Yu Zheng offers a fresh perspective on the management of MNCs. The voices of employees have not been heard before, yet they are the critical actors in China's transformation through foreign direct investment. This book explores the pains and gains, achievements and setbacks of managing the Chinese workforce, which is ever pragmatic, increasingly assertive and constantly evolving.

China is undergoing a dramatic transition from the old to the new as the country integrates into global product and labour markets. Managing Human Resources in China examines the emergence of new and hybrid forms of employment practices within Chinese Multinational Corporations (MNCs) from the perspective of local stakeholders. These include managers, workers and government officials, who take part in strategic planning and policy implementation whilst coping with the pressure of an ever-changing environment. Working in and observing four foreign-invested manufacturing plants located in one of China's new industrial clusters, Yu Zheng offers a fresh perspective on the management of MNCs. The voices of employees have not been heard before, yet they are the critical actors in China's transformation through foreign direct investment. This book explores the pains and gains, achievements and setbacks of managing the Chinese workforce, which is ever pragmatic, increasingly assertive and constantly evolving.

Spatial trajectories have been bringing the unprecedented wealth to a variety of research communities. A spatial trajectory records the paths of a variety of moving objects, such as people who log their travel routes with GPS trajectories. The field of moving objects related research has become extremely active within the last few years, especially with all major database and data mining conferences and journals. Computing with Spatial Trajectories introduces the algorithms, technologies, and systems used to process, manage and understand existing spatial trajectories for different applications. This book also presents an overview on both fundamentals and the state-of-the-art research inspired by spatial trajectory data, as well as a special focus on trajectory pattern mining, spatio-temporal data mining and location-based social networks. Each chapter provides readers with a tutorial-style introduction to one important aspect of location trajectory computing, case studies and many valuable references to other relevant research work. Computing with Spatial Trajectories is designed as a reference or secondary text book for advanced-level students and researchers mainly focused on computer science and geography. Professionals working on spatial trajectory computing will also find this book very useful.

Spatial trajectories have been bringing the unprecedented wealth to a variety of research communities. A spatial trajectory records the paths of a variety of moving objects, such as people who log their travel routes with GPS trajectories. The field of moving objects related research has become extremely active within the last few years, especially with all major database and data mining conferences and journals. Computing with Spatial Trajectories introduces the algorithms, technologies, and systems used to process, manage and understand existing spatial trajectories for different applications. This book also presents an overview on both fundamentals and the state-of-the-art research inspired by spatial trajectory data, as well as a special focus on trajectory pattern mining, spatio-temporal data mining and location-based social networks. Each chapter provides readers with a tutorial-style introduction to one important aspect of location trajectory computing, case studies and many valuable references to other relevant research work. Computing with Spatial Trajectories is designed as a reference or secondary text book for advanced-level students and researchers mainly focused on computer science and geography. Professionals working on spatial trajectory computing will also find this book very useful.

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China.The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows:Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China.The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows:Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China.The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows:Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

This book explains the AI algorithms, techniques, and application methods used in manufacturing, and how they contribute to the advancement of industrial intelligence. Industrial artificial intelligence (IAI) is rapidly evolving alongside the development of smart manufacturing, which cannot be achieved without intelligence at its core.

This book constitutes the refereed proceedings of the 13th International Symposium on Spatial and Temporal Databases, SSTD 2013, held in Munich, Germany, in August 2013. The 24 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on joins and algorithms; mining and discovery; indexing; trajectories and road network data; nearest neighbours queries; uncertainty; and demonstrations.

This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised learning, graph-based and semi-supervised learning, neural networks and deep learning, planning and optimization, AI applications.

This book explores the changing face of development assistance. In 2017, a group of top scholars from Fudan, the London School of Economics, and other institutions like the Institute of Development Studies, Australian National University, and World Bank gathered to share findings and ideas about the nature of New Development Assistance.