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Knowledge Management, Liebowitz, Jay


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Автор: Liebowitz, Jay
Название:  Knowledge Management
ISBN: 9780367455316
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367455315
Обложка/Формат: Paperback
Страницы: 148
Вес: 0.27 кг.
Дата издания: 29.11.2019
Язык: English
Размер: 234 x 156 x 8
Читательская аудитория: Tertiary education (us: college)
Основная тема: Management of IT
Подзаголовок: Learning from Knowledge Engineering
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: The time has come for Knowledge Management (KM) professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering (KE). Knowledge Management: Learning from Knowledge Engineering is the ideal starting point for those in KM to learn from and exploit advances in that field, and thereby advance their


Healthcare Analytics: From Data to Knowledge to Healthcare Improvement

Автор: Hui Yang,Eva K. Lee
Название: Healthcare Analytics: From Data to Knowledge to Healthcare Improvement
ISBN: 1118919394 ISBN-13(EAN): 9781118919392
Издательство: Wiley
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Цена: 17099.00 р.
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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.

The Effective Change Manager: The Change Management Body of Knowledge

Автор: The Change Management Institute
Название: The Effective Change Manager: The Change Management Body of Knowledge
ISBN: 1925171027 ISBN-13(EAN): 9781925171020
Издательство: Неизвестно
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Цена: 9887.00 р.
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Описание: 'The Effective Change Manager' is designed for change management practitioners, employers, authors, academics and anyone with an interest in this growing professional discipline of change management.

This first edition The Change Management Body of Knowledge (CMBoK) draws on the experience of more than six hundred change management professionals in thirty countries. Starting with what change managers do - 'The Effective Change Manager' describes what change managers must know in order to display those competencies effectively - and to deliver change successfully.

The Change Management Institute (CMI) is an independent professional organization that is uniquely positioned to promote and advance the interests of Change Management. Since 2005, the CMI has been providing opportunities for change management professionals to build knowledge and skills and network with other professionals.

Knowledge to action?

Автор: Sue Dopson
Название: Knowledge to action?
ISBN: 0199205108 ISBN-13(EAN): 9780199205103
Издательство: Oxford Academ
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Цена: 9021.00 р.
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Описание: Health services can and should be improved by applying research findings about best practice. Yet, in Knowledge to Action?, the authors explore why it nevertheless proves notoriously difficult to implement change based on research evidence in the face of strong professional views and complex organizational structures.

Knowledge Warehouse

Автор: Carsten Dittmar
Название: Knowledge Warehouse
ISBN: 382448126X ISBN-13(EAN): 9783824481262
Издательство: Springer
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Цена: 7978.00 р.
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Описание: Es baut auf dem Data Warehouse auf, uberwindet aber dessen Defizite und ermoeglicht die sinnvolle Integration bisher isolierter Theoriefelder, die sich mit dem Phanomen des Lernens auf multipersoneller Ebene und mit dem Management der Ressource Wissen auseinandersetzen.

Knowledge Management und Business Intelligence

Автор: Uwe Hannig
Название: Knowledge Management und Business Intelligence
ISBN: 3642627374 ISBN-13(EAN): 9783642627378
Издательство: Springer
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Цена: 9688.00 р.
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Описание: Der Herausgeber, Leiter des Instituts fur Managementinformationssysteme und des Instituts fur Knowledge Management, zeigt in diesem Buch die zunehmende Integration der beiden Bereiche.

Die Praxis des Knowledge Managements

Автор: Andreas Heck
Название: Die Praxis des Knowledge Managements
ISBN: 3322849716 ISBN-13(EAN): 9783322849717
Издательство: Springer
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Цена: 6839.00 р.
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Описание: Das Buch ist sehr viel pragmatischer und praxisnдher, als es ьbliche Managementliteratur zum Thema Wissensmanagement ist. Es geht um das IT-gestьtzte Knowledge Management in der Praxis, wie es zum Beispiel bei der Einfьhrung von Call Centern, Help Desks oder unternehmensinternen Knowledge-Portalen eingefьhrt und professionell gelebt werden kann.
Kernstьck des Bandes sind konkrete Projekterfahrungen und daraus abgeleitete Vorgehensweisen, die als Leitfaden zum erfolgreichen Zusammenspiel von Technik, Organisation und Mensch dienen. Insbesondere kцnnen die Beispiele als Referenzmodelle fьr den Einsatz in vielen Unternehmen gelten. Das Buch bietet gebьndeltes und aktuelles Wissen fьr die Praxis: Projektvorgehensweisen, Checklisten, Anforderungskataloge, Musterprдsentationen sowie ein Vergleich geeigneter IT-Tools.

Knowledge Management as a Strategic Asset: An Integrated, Historical Approach

Автор: Jon-Arild Johannessen
Название: Knowledge Management as a Strategic Asset: An Integrated, Historical Approach
ISBN: 1787696626 ISBN-13(EAN): 9781787696624
Издательство: Emerald
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Цена: 9349.00 р.
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Описание: Jon-Arild Johannessen examines the history of knowledge management in order to highlight the contributions that the discipline can make to twenty-first-century strategic challenges.

Knowledge Management - Developing a Knowledge Management Framework for International Projects

Автор: Thanner Christian
Название: Knowledge Management - Developing a Knowledge Management Framework for International Projects
ISBN: 3639019989 ISBN-13(EAN): 9783639019988
Издательство: Неизвестно
Цена: 13184.00 р.
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Wisdom, Knowledge, and Management:

Автор: Janet McIntyre-Mills; John P. van Gigch
Название: Wisdom, Knowledge, and Management:
ISBN: 1441922512 ISBN-13(EAN): 9781441922519
Издательство: Springer
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Цена: 26711.00 р.
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Описание: The Systems Approach and Its Enemies (C. West Churchman, 1979) is one of Churchman`s most significant works. In this book the editors seeks to follow up on these two themes and reveal how modern authors interpret Churchman`s ideas, apply them to their own line of thinking and develop their own brand of Systemics.

Knowledge Engineering

Автор: Tecuci
Название: Knowledge Engineering
ISBN: 1107122562 ISBN-13(EAN): 9781107122567
Издательство: Cambridge Academ
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Цена: 11722.00 р.
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Описание: This book presents a significant advancement in knowledge engineering based on learning agent technology. Using the software Disciple-EBR, students, practitioners, and researchers can rapidly develop learning assistants in numerous domains that require evidence-based reasoning, including cyber security, law, forensics, medicine, and education.


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