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Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.
This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2020), held at ISCTE - University Institute of Lisbon, in the city of Lisbon in Portugal, between 8 and 10 October 2020. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.
Edited in collaboration with the Academy of Marketing Science, this book contains the full proceedings of the 2014 Academy of Marketing Science World Marketing Congress held in Lima, Peru. The key challenge for marketers during the last two decades has been assuring high satisfaction and strong customer loyalty. Today, consumers’ ever-changing desires, instantaneous communication through social media and mobile technology and an unstable global economic climate all come together to stir up market turbulence. This volume explores how traditional and modern marketing practices facilitate development of new and innovative products, help create increased product/service differentiation, ensure...
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology.
Particularly in the humanities and social sciences, festschrifts are a popular forum for discussion. The IJBF provides quick and easy general access to these important resources for scholars and students. The festschrifts are located in state and regional libraries and their bibliographic details are recorded. Since 1983, more than 639,000 articles from more than 29,500 festschrifts, published between 1977 and 2010, have been catalogued.
This Brief discusses impacts of the COVID-19 pandemic on the Portuguese tourism sector. Taking into account real-world conditions and the importance of the tourism sector for the Portuguese economy, this book highlights the economic contexts of tourism in Portugal at the regional and municipal levels, discussing pre-pandemic economic frameworks and projecting potential implications for the future. Using data provided by Statistics Portugal, the Brief performs econometric analysis on three cases: new paradigms for overnight stays and guests, changes in tourism revenues and prospective alternatives, and a comparison of effects on changes in number of guests and overnight stays at the regional level. Providing cutting edge analysis of a dynamic global situation, this Brief will be useful for researchers interested in tourism economics and European economics as well as policymakers and industry professionals.
The focus of the volume is on dealing with uncertainties and challenges within the global marketplace brought by digital technology companies that are leveraging artificial intelligence, machine learning, cloud computing, robotic automation, augmented reality, and other recent advancements. Additionally, these companies operate in the sharing economy and offer collaborative consumption opportunities. Featuring contributions presented at the 2020 Academy of Marketing Science (AMS) Virtual Annual Conference, the enclosed contributions assess the impact of these radical and disruptive innovations on long-standing incumbents and traditional industries, as well as consumer experiences. Founded in...
This book features high-quality, peer-reviewed papers from the 28th International Conference Systems Engineering (ICSEng 2021), held at Wrcław University of Science and Technology, Wrocław, Poland, on December 14–16, 2021. Presenting the latest developments and technical solutions in systems engineering, it covers a variety of topics, such as analog and digital hardware systems, artificial intelligence and machine learning, distance learning & games, E-business systems, financial technology, general control systems, hyper-automation and Industry 4.0, Internet of things, sensor and biometric systems, medical systems and applications, robotics, computer vision, HCI, and parallel and distributed systems. As such, it helps those in the computer industry and academia to use the advances in next-generation systems engineering technology to shape real-world applications.