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Author: Tania Cerquitelli
Publisher: Springer
ISBN: 3319540246
Category : Computers
Languages : en
Pages : 224
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Book Description
This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use.
Author: Tania Cerquitelli
Publisher: Springer
ISBN: 3319540246
Category : Computers
Languages : en
Pages : 224
Get Book Here
Book Description
This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use.
Author: S. Finlay
Publisher: Springer
ISBN: 1137379286
Category : Business & Economics
Languages : en
Pages : 241
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Book Description
This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
Author: Iris H-Y Chiu
Publisher: Routledge
ISBN: 1000364666
Category : Law
Languages : en
Pages : 573
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Book Description
Financial technology is rapidly changing and shaping financial services and markets. These changes are considered making the future of finance a digital one.This Handbook analyses developments in the financial services, products and markets that are being reshaped by technologically driven changes with a view to their policy, regulatory, supervisory and other legal implications. The Handbook aims to illustrate the crucial role the law has to play in tackling the revolutionary developments in the financial sector by offering a framework of legally enforceable principles and values in which such innovations might take place without threatening the acquis of financial markets law and more generally the rule of law and basic human rights. With contributions from international leading experts, topics will include: Policy, High-level Principles, Trends and Perspectives Fintech and Lending Fintech and Payment Services Fintech, Investment and Insurance Services Fintech, Financial Inclusion and Sustainable Finance Cryptocurrencies and Cryptoassets Markets and Trading Regtech and Suptech This Handbook will be of great relevance for practitioners and students alike, and a first reference point for academics researching in the fields of banking and financial markets law.
Author: Jure Leskovec
Publisher: Cambridge University Press
ISBN: 1107077230
Category : Computers
Languages : en
Pages : 480
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Book Description
Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Author: Zheng Xu
Publisher: Springer Nature
ISBN: 3030969088
Category : Technology & Engineering
Languages : en
Pages : 1080
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Book Description
This book presents the outcomes of the 2022 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber-security, particularly focusing on threat intelligence, analytics, and countering cyber-crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber-security intelligence and analytics. Due to COVID-19, authors, keynote speakers and PC committees will attend the conference online.
Author: Mohamed Medhat Gaber
Publisher: Springer Science & Business Media
ISBN: 3319027115
Category : Technology & Engineering
Languages : en
Pages : 112
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Book Description
Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.
Author: Badrul H. Khan
Publisher: Routledge
ISBN: 1351394673
Category : Computers
Languages : en
Pages : 440
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Book Description
Winner of two Outstanding Book Awards from the Association of Educational Communications and Technology (Culture, Learning, & Technology and Systems Thinking & Change divisions)! Rapid advancements in our ability to collect, process, and analyze massive amounts of data along with the widespread use of online and blended learning platforms have enabled educators at all levels to gain new insights into how people learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging forms of educational data analysis. Chapter authors from around the world explore how data analytics can be used to improve course and program quality; how the data and its interpretations may inadvertently impact students, faculty, and institutions; the quality and reliability of data, as well as the accuracy of data-based decisions; ethical implications surrounding the collection, distribution, and use of student-generated data; and more. This volume unpacks and explores this complex issue through a systematic framework whose dimensions address the issues that must be considered before implementation of a new initiative or program.
Author: Andrew Crane
Publisher: Oxford University Press, USA
ISBN: 0198810075
Category : Business ethics
Languages : en
Pages : 637
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Book Description
How can you be an ethical corporate citizen in an increasingly complex, multiple-stakeholder world? This is the most pressing question facing businesses today, small and large, local and global. Business Ethics, fifth edition, is a thorough yet accessible exploration of the main ethical theories and how these apply to major stakeholders facing this question.Written from a truly international perspective and supported by diverse and innovative learning features, this book provides the tools and concepts necessary to understand and effectively manage ethical challenges wherever you are in the world.NEW TO THIS EDITIONProfessor Laura Spence and Dr Sarah Glozer join the author team, bringing fresh perspectives and new expertisePractitioner Spotlights feature prominent businesswomen and men, discovering the ethical challenges they face at work and also the skills they employ to tackle themEthics in Action boxes have been substantially refreshed, with new examples exploring ethical considerations at organizations such as Nudie, Jeans Co., Brewdog, and indigenous Bangladeshi tanneries, as well as complex issues including digital currency, modern slavery, and Big DataNew Case Studies address the latest developments in the business environment, such as the sharing economy and sustainability.This title is available as an eBook. Please contact your Learning Resource Consultant for more information.
Author: Valentina Emilia Balas
Publisher: Springer Nature
ISBN: 9813349689
Category : Artificial intelligence
Languages : en
Pages : 795
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Book Description
This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.
Author: Raza Mir
Publisher: Routledge
ISBN: 100007921X
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
Interest in anthropology and ethnography has been an ongoing feature of organizational research and pedagogy; this book provides a key reference text that pulls together the different ways in which anthropology infuses the study of organizations, both epistemologically and methodologically. The volume hosts key scholars and experts within the fields of Organizational Anthropology, Organizational Ethnography, Organizational Studies and Qualitative Research. The book provides a combination of methodological guidelines, exemplars and epistemological reflection. It includes methodological viewpoints, ethnographic journeys within organizations as well as beyond organizations, and individual reflections on challenges faced by organizational ethnographers. This book is aimed at PhD, master and advanced undergraduate students and researchers across disciplines, especially those who are engaged with general management, organizational behaviour, strategy and anthropological/ethnographic issues.
