Big Data and Artificial Intelligence in Digital Finance

This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are now…

21st Century Media and Female Mental Health: Profitable Vulnerability and Sad…

This open access book examines the conversations around gendered mental health in contemporary Western media culture. While early 21st century-media was marked by a distinct focus on happiness, productivity and success, during the 2010s negative feelings and discussions around mental health have become increasingly common in that same media landscape. This book traces this turn to sadness in wo…

Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Rese…

This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contou…

Effectuation entwickeln: Ein auf Reinforcement Learning aufbauender agentenba…

In diesem Open-Access-Buch wird ein Rahmenwerk entwickelt, das simulationsbezogene Untersuchungen von Effetcuation ermöglicht und gleichzeitig die Grundlage für die Entwicklung von gründungsunterstützenden Entscheidungssystemen schafft. Es wird diskutiert, inwieweit effektuatives Lernen modelliert und algorithmisch interpretiert werden kann. Auf Basis der Vorstellung und kritischen Evaluier…

Urban Living Lab for Local Regeneration: Beyond Participation in Large-scale …

This open access book provides an integrated overview of the challenges and resources of large-scale social housing estates in Europe and outlines possible interdisciplinary approaches and tools to promote their regeneration. It especially focuses on the tool of urban living labs, as promising in promoting new and more effective local governance and in including the different actors into the pl…

Design of Heuristic Algorithms for Hard Optimization: With Python Codes for t…

This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a we…

Multi-Winner Voting with Approval Preferences

Edition

1

ISBN/ISSN

978-3-031-09016-5

Collation

-

Series Title

SpringerBriefs in Intelligent Systems

Call Number

XI, 121

Educational Data Analytics for Teachers and School Leaders

Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks. This open access textbook is a tutorial for developing, practicing and self-a…

Ethics of Artificial Intelligence: Case Studies and Options for Addressing Et…

This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and medi…

Statistical Foundations of Actuarial Learning and its Applications

This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has…