This book contains the selected proceedings of the 2023 International Conference on Energy Engineering, held in Xi'an, China, December 15-17, 2023. The conference explores advances and practical applications in energy research and engineering, and delves into innovative approaches in four specialized tracks: New Transportation Energy, Power and Energy, Applied Thermal Energy, and Oil and Natural Gas Engineering. It explores strategies for accelerating the transition to renewable energy, op...

This book is the first to apply systematic palaeopathological, archaeological and historical investigations (using bones as a focus as well as other supporting lines of information) to Chinese osteological materials in order to answer the question about the origins of cattle labour. Structurally, this monograph flows from an introduction and review of previous scholarship and questions, through employed theory and developed methods, to analyses of archaeological materials, and finally fini...

This book presents a comprehensive and cutting-edge overview of the educational governance reform trajectory and the latest issues in China, addressing several important topics such as administration, internal management, provision, enrollment, employment, financing, examinations, evaluation and quality assurance. In addition, this important and timely book discusses the educational system at all levels, from primary and secondary schools to colleges and universities, and each chapter ends...

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.This book presents Bayesian network as a te...

This book discusses the natural classification and biosystematics of Triticeae, and presents the most significant findings of comprehensive studies on the Triticeae, an important tribe in the grass family (Poaceae) that includes major crops such as wheat, barley, rye and triticale, as well as various forage crops found in different genera. The five-volume Chinese version of Biosystematics of Triticeae was published in 1998, 2004, 2006, 2011, and 2013, and included the 30 genera, 2...

Advances in wide bandgap semiconductor materials are enabling the development of a new generation of power semiconductor devices that far exceed the performance of silicon-based devices. These technologies offer potential breakthrough performance for a wide range of applications, including high-power and RF electronics, deep-UV optoelectronics, quantum information and extreme-environment applications.This reference text provides comprehensive coverage of the challenges and latest r...

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the...

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains...

Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. The book contains the algorithmic details of different techniques such as A priori, Pincer-search, Dynamic Itemset Counting, FP-Tree growth, SLIQ, SPRINT, BOAT, CART, RainForest, BIRCH, CURE, BUBBLE, ROCK, STIRR, PAM, CLARANS, DBSCAN, GSP,...

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of the twenty-five chapters includes state-of-the-art descriptions and important research...

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; compreh...

Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on experimentation of the theory and concepts. The application focuses on systems biology wit...