Economic And Financial Knowledge Based Processing
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| Author | : Louis F. Pau |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 375 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642760023 |
As banks, financial services, insurances, and economic research units worldwide strive to add knowledge based capabilities to their analyses and services, or to create new ones, this volume aims to provide them with concrete tools, methods and application possibilities. The tutorial component of the book relies on case study illustrations, and on source code in some of the major artificial intelligence languages. The applications related component includes an extensive survey of real projects, and a number of thorough generic methods and tools for auditing, technical analysis, information screens and natural-language front-ends. The research related component highlights novel methods and software for economic reasoning under uncertainty and for fusion of qualitative/quantitative model-based economic reasoning.
| Author | : OECD |
| Publisher | : OECD Publishing |
| Total Pages | : 181 |
| Release | : 2005-11-10 |
| Genre | : |
| ISBN | : 9264012575 |
This book describes the different types of financial education programmes currently available in OECD countries, evaluates their effectiveness, and makes suggestions to improve them.
| Author | : Sergio Consoli |
| Publisher | : Springer Nature |
| Total Pages | : 357 |
| Release | : 2021 |
| Genre | : Application software |
| ISBN | : 3030668916 |
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
| Author | : August-Wilhelm Scheer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 316 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642467423 |
The first edition of this book appeared in the Federal Republic of Gennany in 1984. and in English translation as "Computer: A Challenge for Business Administration" in 1985. This book. which is a translation of the fourth Gennan edition. has been comprehensively revised. As a result both the character and the expected audience of the book have changed. which is reflected in the alteration to the title. This book adresses itself to issues arising from the research areas of both infonnation systems and computer science. Computer science departments are primarily concerned with the development of EDP techniques. and the business economics aspects remain largely Ignored. The emphasis in infonnation systems departments is placed on the investigation of the business economic impact of the use of already existing systems. This strongly empirical approach is accompanied by a disinclination to consider actual system deSign: this is considered the responsibility of the software houses. This partitioning. however. leaves untapped the considerable potential which could be realized by an interdisciplinary approach from computer science and business economics. An isolated approach neglects both the effects that business economics can have on the implementation of EDP techniques. and the structural impact of EDP on business economics.
| Author | : Allen Kent |
| Publisher | : CRC Press |
| Total Pages | : 448 |
| Release | : 1991-03-29 |
| Genre | : Computers |
| ISBN | : 9780824722746 |
"This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."
| Author | : C. H. Chen |
| Publisher | : World Scientific |
| Total Pages | : 1000 |
| Release | : 1993-08 |
| Genre | : Computers |
| ISBN | : 9789810222765 |
"The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures."--BOOK JACKET.
| Author | : Cherry Bhargava |
| Publisher | : CRC Press |
| Total Pages | : 271 |
| Release | : 2021-07-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1000406466 |
This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume. Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text: Discusses advances in artificial intelligence and its applications. Presents the predictive analysis and data analysis using artificial intelligence. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics. Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
| Author | : Mihail Busu |
| Publisher | : Springer Nature |
| Total Pages | : 357 |
| Release | : |
| Genre | : |
| ISBN | : 3031502086 |
| Author | : Anindya S. Chakrabarti |
| Publisher | : Springer Nature |
| Total Pages | : 454 |
| Release | : 2019-10-23 |
| Genre | : Business & Economics |
| ISBN | : 9811383197 |
This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.
| Author | : Amandeep Kaur |
| Publisher | : CSMFL Publications |
| Total Pages | : 120 |
| Release | : 2020-10-10 |
| Genre | : Computers |
| ISBN | : 8194848350 |
This book is a compilation of contributed works on management of data in the age of artificial intelligence. The AI technologies have changed the way the businesses do manage themselves in modern times. It becomes much more important to manage the data a business owns when the same can be collated and used by the allied AI technologies for forming business decisions. This book highlights how AI and machine learning can help businesses categorise and manage their organizational data. The book introduces how small businesses can benefit from AI technologies for their data management with limited budgets. The book advocates for making AI processes to be core part of consumer experience and support management within the businesses. As a unique feature, this book also goes to make an awareness as to how human brain can use AI’s deep learning capabilities to make reflective decisions. The book also introduces as to how big data and big data analytics can help agriculture and farm management sector. It is hoped that the readership will find this book useful in the areas of big data management, machine learning and data decisions, AI technologies for small businesses, usage of AI in emerging sectors and those areas where data needs to managed in an environment of automation.
