Transforming Data Into Knowledge
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Transforming Data Into Knowledge
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Author : Jeffrey C. Wayman
language : en
Publisher: Taylor & Francis
Release Date : 2024-08-30
Transforming Data Into Knowledge written by Jeffrey C. Wayman and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Education categories.
This Special Issue includes works on linking data and learning, using student-assessment results, data mining, data decision making for teachers, identifying student's needs with technology and data use in urban high schools. The goals of the Journal of Education for Students Placed At Risk (JESPAR) are to provide the best research-based information possible to professionals involved with improving the education of students placed at risk and to promote the use of that information through effective communications among researchers, policymakers, and practitioners in the field. JESPAR publishes articles geared to academic researchers, policy analysts, and especially to practitioners regarding practical, research-based progress in the field of education for students placed at risk. The journal offers refereed research articles on promising programs; descriptions of promising programs in the field; case studies of schools that work; literature reviews; book and report reviews; regular communications on Title I regulations; and school and district practices from federal, state, and local perspectives.
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!
Ai In Data Science Transforming Data Into Knowledge
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Author : AI GURU
language : en
Publisher: Pure Water Books
Release Date : 2025-02-20
Ai In Data Science Transforming Data Into Knowledge written by AI GURU and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
AI in Data Science: Transforming Data into Knowledge Dive into the captivating world of artificial intelligence with this comprehensive guide, "AI in Data Science: Unlocking the Future." This book takes you on a journey from the foundational concepts of AI and data science to the cutting-edge technologies and real-world applications that are transforming industries and improving lives. Whether you're a newcomer or an AI enthusiast, this book provides valuable insights, practical tips, and inspiring stories to help you navigate the ever-evolving field of AI. Explore how AI is revolutionizing healthcare, enhancing education, driving innovation in finance, and even protecting endangered species. Learn about the ethical considerations and challenges that come with AI development, and discover the tools and techniques used by AI professionals to build impactful projects. With detailed case studies and a curated list of essential resources, this book is your ultimate guide to mastering AI and making a positive impact on the world. Join us on this exciting journey of discovery and innovation, and unlock the secrets hidden within your data. Whether you're looking to start your AI journey or deepen your knowledge, "AI in Data Science: Unlocking the Future" is your go-to resource for all things AI.
Advances In Knowledge Discovery And Data Mining
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Author : James Bailey
language : en
Publisher: Springer
Release Date : 2016-04-11
Advances In Knowledge Discovery And Data Mining written by James Bailey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-11 with Computers categories.
This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.
Big Data Governance And Perspectives In Knowledge Management
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Author : Strydom, Sheryl Kruger
language : en
Publisher: IGI Global
Release Date : 2018-11-16
Big Data Governance And Perspectives In Knowledge Management written by Strydom, Sheryl Kruger and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-16 with Computers categories.
The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.
Informs Analytics Body Of Knowledge
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Author : James J. Cochran
language : en
Publisher: John Wiley & Sons
Release Date : 2018-10-23
Informs Analytics Body Of Knowledge written by James J. Cochran and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-23 with Mathematics categories.
Standardizes the definition and framework of analytics #2 on Book Authority’s list of the Best New Analytics Books to Read in 2019 (January 2019) We all want to make a difference. We all want our work to enrich the world. As analytics professionals, we are fortunate - this is our time! We live in a world of pervasive data and ubiquitous, powerful computation. This convergence has inspired and accelerated the development of both analytic techniques and tools and this potential for analytics to have an impact has been a huge call to action for organizations, universities, and governments. This title from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics. Readers with various backgrounds in analytics – from novices to experienced professionals – will benefit from reading about and implementing the concepts and methods covered here. Peer reviewed chapters provide readers with in-depth insights and a better understanding of the dynamic field of analytics The INFORMS Analytics Body of Knowledge documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics.
Trends And Applications In Knowledge Discovery And Data Mining
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Author : Huiping Cao
language : en
Publisher: Springer
Release Date : 2016-07-15
Trends And Applications In Knowledge Discovery And Data Mining written by Huiping Cao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-15 with Computers categories.
This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business and Finance, WDMBF.
Relational Calculus For Actionable Knowledge
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Author : Michel Barès
language : en
Publisher: Springer Nature
Release Date : 2022-01-21
Relational Calculus For Actionable Knowledge written by Michel Barès and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-21 with Computers categories.
This book focuses on one of the major challenges of the newly created scientific domain known as data science: turning data into actionable knowledge in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been qualitatively and intensively studied in management, business, and the social sciences but in computer science and engineering, its connection has only recently been established to data mining and its evolution, ‘Knowledge Discovery and Data Mining’ (KDD). Data mining seeks to extract interesting patterns from data, but, until now, the patterns discovered from data have not always been ‘actionable’ for decision-makers in Socio-Technical Organizations (STO). With the evolution of the Internet and connectivity, STOs have evolved into Cyber-Physical and Social Systems (CPSS) that are known to describe our world today. In such complex and dynamic environments, the conventional KDD process is insufficient, and additional processes are required to transform complex data into actionable knowledge. Readers are presented with advanced knowledge concepts and the analytics and information fusion (AIF) processes aimed at delivering actionable knowledge. The authors provide an understanding of the concept of ‘relation’ and its exploitation, relational calculus, as well as the formalization of specific dimensions of knowledge that achieve a semantic growth along the AIF processes. This book serves as an important technical presentation of relational calculus and its application to processing chains in order to generate actionable knowledge. It is ideal for graduate students, researchers, or industry professionals interested in decision science and knowledge engineering.
Economic Sustainability And Social Equality In The Technological Era
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Author : Dwi Irawan
language : en
Publisher: Taylor & Francis
Release Date : 2024-11-25
Economic Sustainability And Social Equality In The Technological Era written by Dwi Irawan and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Social Science categories.
This book is a comprehensive compilation of academic papers and presentations delivered at the conference. It brings together research from various disciplines within the humanities and social sciences, such as cultural studies, sociology, psychology, education, literature, and history. It meticulously covers several critical areas of study, reflecting the diverse and interdisciplinary nature of the conference. In the realm of post-pandemic economic development, it explores strategies for economic recovery and resilience, highlighting the role of finance and social capital in rebuilding economies. Technology and sustainable cities are examined through case studies and theoretical frameworks that discuss smart city initiatives, technological integration, and sustainability practices. The section on economic development, accountability, and finance risk delves into methods for ensuring transparency and managing financial uncertainties in a globalized economy. Social and environmental policies and planning are addressed with a focus on creating equitable and sustainable communities. This text will be valuable to academics, researchers, and students in the fields of humanities and social sciences. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
Advances In Knowledge Discovery And Data Mining
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Author : Takashi Washio
language : en
Publisher: Springer
Release Date : 2008-05-11
Advances In Knowledge Discovery And Data Mining written by Takashi Washio and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-11 with Computers categories.
ThePaci?c-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD) has been held every year since 1997. PAKDD 2008, the 12th in the series, was heldatOsaka,JapanduringMay20–23,2008.PAKDDisaleadinginternational conference in the area of data mining. It provides an international forum for - searchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD-related areas - cluding data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scienti?c discovery, data visualization, causal induction, and knowledge-based systems. This year we received a total of 312 research papers from 34 countries and regions in Asia, Australia, North America, South America, Europe, and Africa. Every submitted paper was rigorously reviewed by two or three reviewers, d- cussed by the reviewers under the supervision of an Area Chair, and judged by the Program Committee Chairs. When there was a disagreement, the Area Chair and/or the Program Committee Chairs provided an additional review. Thus, many submissions were reviewed by four experts. The Program Comm- tee members were deeply involved in a highly selective process. As a result, only approximately11.9%ofthe312submissionswereacceptedaslongpapers,12.8% of them were accepted as regular papers, and 11.5% of them were accepted as short papers.