World Statistics on Mining and Utilities 2018 provides a unique biennial overview of the role of mining and utility activities in the world economy. This extensive resource from UNIDO provides detailed time series data on the level, structure and growth of international mining and utility activities by country and sector. Country level data is clearly presented on the number of establishments, employment and output of activities such as coal, iron ore and crude petroleum mining as well as the production and supply of electricity, natural gas and water.
A unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.
A unique and comprehensive source of information, this book is the only international publication providing economists, planners, policymakers and business people with worldwide statistics on current performance and trends in the manufacturing sector.
Artificial Intelligence (AI) has become omnipresent in today's business environment: from chatbots to healthcare services to various ways of creating useful information. While AI has been increasingly used to optimize various creative and innovative processes, the integration of AI into products, services, and other operational procedures raises significant concerns across virtually all areas of intellectual property (IP) law. While AI has drawn extensive attention from IP experts globally, this is the first book providing a broad and comprehensive picture from the perspectives of the very nature of AI technology, its commercial implications, its interaction with different kinds of IP, IP administration, software and data, its social and economic impact on the innovation policy, and ultimately AI's eligibility as a legal entity.
Energy projects in Latin America are a major contributor to economic growth worldwide. This book is the first to offer a comprehensive, in-depth analysis of specific issues arising from energy and natural resources contracts and disputes in the region, covering a wide range of procedural, substantive, and socio-legal issues. The book also includes how states have shifted from passive business partners to more active controlling players. The book contains an extensive treatment and examination of the particularities of arbitration practice in Latin America, including arbitrability, public order, enforcement, and the complex public-private nature of energy transactions. Specialists experienced in resolving international energy and natural disputes throughout the region provide detailed analysis of such issues and topics, including: state-owned entities as co-investors or contracting parties; role of environmental law, indigenous rights and public participation; issues related to political changes, corruption, and quantification of damages; climate change, renewable energy, and the energy transition; force majeure, hardship, and price reopeners; arbitration in the electricity sector; take-or-pay contracts; recognition and enforcement of awards; tension between stabilization clauses and human rights; mediation as a method for dispute settlement in the energy and natural resources sector; and different comparative approaches taken by national courts in key Latin American jurisdictions. The book also delivers a clear explanation on the impact made to the arbitration process by Covid-19, emerging laws, changes of political circumstances, the economic global trends in the oil & gas market, the energy transition, and the rise of new technologies. This invaluable book will be welcomed by in-house lawyers, government officials, as well as academics and rest of the arbitration community involved in international arbitration with particular interest in the energy and natural resources sector.
This proceedings book constitutes the refereed proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during November 20–22, 2022, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.
This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data. The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.
This book constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021, held in Phuket, Thailand, in April 2021.* The 67 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: data mining methods and applications; machine learning methods; decision support and control systems; natural language processing; cybersecurity intelligent methods; computer vision techniques; computational imaging and vision; advanced data mining techniques and applications; intelligent and contextual systems; commonsense knowledge, reasoning and programming in artificial intelligence; data modelling and processing for industry 4.0; innovations in intelligent systems. *The conference was held virtually.
This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.
