Dynamically Transforming Data Into Knowledge
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Dynamically Transforming Data Into Knowledge
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-05
Dynamically Transforming Data Into Knowledge written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-05 with Technology & Engineering categories.
In the dynamic and ever-changing world of business, organizations are faced with the challenge of harnessing the power of data to gain actionable insights and make informed decisions. Dynamic data, characterized by its fluidity, volatility, and unpredictability, presents both opportunities and complexities for businesses seeking to stay competitive. This comprehensive guide takes you on a journey to unravel the intricacies of dynamic data transformation, empowering you to unlock its full potential and transform your business into a data-driven powerhouse. With expert insights and practical strategies, you'll discover how to: * Capture, manage, and transform diverse data sources into valuable knowledge * Integrate disparate systems seamlessly to ensure data connectivity and interoperability * Implement effective data quality management practices to ensure data accuracy and integrity * Utilize data visualization and exploration techniques to uncover hidden patterns and trends * Leverage machine learning and artificial intelligence to automate data analysis and uncover deeper insights * Process and analyze data in real time to respond quickly to changing conditions * Safeguard sensitive data from potential threats with robust security measures * Prepare for the future of data transformation by embracing emerging trends and innovations Through real-world case studies and best practices, this book provides a roadmap for organizations to navigate the complexities of dynamic data and unlock its transformative power. It's an essential resource for business leaders, data analysts, and IT professionals seeking to harness the full potential of data to drive innovation, growth, and success. Embrace dynamic data as a strategic asset and embark on a transformative journey towards data-driven success. With this guide as your compass, you'll gain the knowledge and skills necessary to unlock the hidden value in your data and make informed decisions that drive business growth and prosperity. If you like this book, write a review!
Data Driven Decision Making And Dynamic Planning
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Author : Paul Preuss
language : en
Publisher: Routledge
Release Date : 2013-09-27
Data Driven Decision Making And Dynamic Planning written by Paul Preuss and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-27 with Education categories.
This book will help you understand how to integrate data-based decisions into the daily work of the school. It is a practical and relevant handbook for converting data into wise decision-making and planning. It will give you the skills to successfully make data-based decisions, measure student learning and program effectiveness, evaluate student progress, use data to improve instruction, integrate a "Dynamic Planning" process into the daily operation of your school.
Data Mining In Structural Dynamic Analysis
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Author : Yun Lai Zhou
language : en
Publisher: Springer Nature
Release Date : 2019-11-22
Data Mining In Structural Dynamic Analysis written by Yun Lai Zhou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-22 with Science categories.
This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields.
Electronic Supply Network Coordination In Intelligent And Dynamic Environments Modeling And Implementation
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Author : Mahdavi, Iraj
language : en
Publisher: IGI Global
Release Date : 2010-10-31
Electronic Supply Network Coordination In Intelligent And Dynamic Environments Modeling And Implementation written by Mahdavi, Iraj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-31 with Business & Economics categories.
"This book presents cutting-edge knowledge on scientific approaches to the management of supply networks in a highly informed global environment with abundant dynamic and uncertain challenges"--Provided by publisher.
Icickm2008 5th International Conference On Intellectual Capital Knowledge Management And Organisational Learning
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Author : Dr Kevin O Sullivan
language : en
Publisher: Academic Conferences Limited
Release Date :
Icickm2008 5th International Conference On Intellectual Capital Knowledge Management And Organisational Learning written by Dr Kevin O Sullivan and has been published by Academic Conferences Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Semantic Ai In Knowledge Graphs
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Author : Sanju Tiwari
language : en
Publisher: CRC Press
Release Date : 2023-08-21
Semantic Ai In Knowledge Graphs written by Sanju Tiwari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-21 with Computers categories.
Recent combinations of semantic technology and artificial intelligence (AI) present new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning. Securing efficient results via the combination of symbolic AI and statistical AI such as entity extraction based on machine learning, text mining methods, semantic knowledge graphs, and related reasoning power, this book is the first of its kind to explore semantic AI and knowledge graphs. A range of topics are covered, from neuro-symbolic AI, explainable AI and deep learning to knowledge discovery and mining, and knowledge representation and reasoning. A trailblazing exploration of semantic AI in knowledge graphs, this book is a significant contribution to both researchers in the field of AI and data mining as well as beginner academicians.
Advanced Research Trends In Sustainable Solutions Data Analytics And Security
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Author : Radwan, Ahmed Gomaa
language : en
Publisher: IGI Global
Release Date : 2025-01-03
Advanced Research Trends In Sustainable Solutions Data Analytics And Security written by Radwan, Ahmed Gomaa and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Business & Economics categories.
In the rapidly evolving landscape of technology, innovation, and sustainability, there is a growing need to explore advanced research trends that shape our understanding and implementation of solutions for a sustainable future. Emerging fields such as renewable energy, artificial intelligence (AI), and circular economy principles are at the forefront of this exploration, driving transformative changes across industries. Understanding these trends allows us to create resilient solutions to promote economic growth, environmental protection, and social well-being. This commitment to innovation and sustainability will be essential for fostering a balanced and prosperous future. Advanced Research Trends in Sustainable Solutions, Data Analytics, and Security introduces new research trends that could change how we perceive, use, and integrate technology in a rapidly changing world. It advances the understanding of how technology and innovation can contribute to sustainable development, fostering interdisciplinary collaborations that transcend traditional boundaries, and inspiring actionable initiatives that address global challenges. Covering topics such as artificial intelligence (AI), green infrastructure, and sustainable tourism, this book is an excellent resource for researchers, practitioners, policymakers, academicians, and more.
Transactions On Large Scale Data And Knowledge Centered Systems Xlii
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Author : Abdelkader Hameurlain
language : en
Publisher: Springer Nature
Release Date : 2019-10-17
Transactions On Large Scale Data And Knowledge Centered Systems Xlii written by Abdelkader Hameurlain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-17 with Computers categories.
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 42nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, consists of five revised selected regular papers, presenting the following topics: Privacy-Preserving Top-k Query Processing in Distributed Systems; Trust Factors and Insider Threats in Permissioned Distributed Ledgers: An Analytical Study and Evaluation of Popular DLT Frameworks; Polystore and Tensor Data Model for Logical Data Independence and Impedance Mismatch in Big Data Analytics; A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence; Rejig: A Scalable Online Algorithm for Cache Server Configuration Changes.
Web Services Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-12-07
Web Services Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Computers categories.
Web service technologies are redefining the way that large and small companies are doing business and exchanging information. Due to the critical need for furthering automation, engagement, and efficiency, systems and workflows are becoming increasingly more web-based. Web Services: Concepts, Methodologies, Tools, and Applications is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards and standardization, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web, this multi-volume book is designed for computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students interested in web services architecture, frameworks, and security.
Handbook Of Dynamic Data Driven Applications Systems
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Author : Frederica Darema
language : en
Publisher: Springer Nature
Release Date : 2023-09-14
Handbook Of Dynamic Data Driven Applications Systems written by Frederica Darema and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-14 with Computers categories.
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).