Описание: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution.
Автор: Viren, Matti Название: Gaming in the new market environment ISBN: 0230500501 ISBN-13(EAN): 9780230500501 Издательство: Springer Рейтинг: Цена: 14673 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gaming markets are evolving rapidly. Spearheading this change is the internet, which has enabled cross-border gambling on an unprecedented scale. This book explores the changing landscape of the gaming market and is a crucial companion for all looking for informed discussion on the future of gaming.
Автор: Christou Название: Social Media in Travel, Tourism and Hospitality ISBN: 1138247596 ISBN-13(EAN): 9781138247598 Издательство: Taylor&Francis Рейтинг: Цена: 7549 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Social media is fundamentally changing the way travellers and tourists search, find, read and trust, as well as collaboratively produce information about tourism suppliers and tourism destinations. Presenting cutting-edge theory, research and case studies investigating Web 2.0 applications and tools that transform the role and behaviour of the new generation of travellers, this book also examines the ways in which tourism organisations reengineer and implement their business models and operations, such as new service development, marketing, networking and knowledge management. Written by an international group of researchers widely known for their expertise in the field of the Internet and tourism, chapters include applications and case studies in various travel, tourism and leisure sectors.
Автор: Christou Название: Social Media in Travel, Tourism and Hospitality ISBN: 1409420914 ISBN-13(EAN): 9781409420910 Издательство: Taylor&Francis Рейтинг: Цена: 20328 р. Наличие на складе: Невозможна поставка.
Описание: Presenting the theory, research and case studies investigating Web 2.0 applications and tools that transform the role and behaviour of the new generation of travellers, this book also examines the ways in which tourism organisations reengineer and implement their business models and operations, such as new service development, and marketing.
Описание: A practical guide to leveraging your data to spur innovation and growth Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth you just need the proper analytics.
Автор: Finlay Steven Название: Predictive Analytics, Data Mining and Big Data ISBN: 1137379278 ISBN-13(EAN): 9781137379276 Издательство: Springer Рейтинг: Цена: 5589 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: Features statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting–edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data–driven healthcare analytics in an effort to provide more personalized and efficient healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance care quality and operational efficiency. Organized into two main sections, Part One features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part Two focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: Contributions from well–known international experts who shed light on new approaches in this growing area Discussions on contemporary methods and techniques to address the handling of rich and large–scale healthcare data as well as the overall optimization of healthcare system operations Numerous real–world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry Plentiful applications that showcase the various analytical methods and tools that can be applied to successful predictive modeling The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate–level courses typically offered within operations research, industrial engineering, business, and public health departments. Hui Yang, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor–based modeling and analysis of complex systems for process monitoring/control; system diagnostics/prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self–organizing behaviors. Eva K. Lee, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large–scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.
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