Author: Ying Tan
Publisher: Springer
ISBN: 3319938037
Category : Computers
Languages : en
Pages : 792
Book Description
This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications
Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
Author: Miao Yu
Publisher: Springer Nature
ISBN: 9464634170
Category :
Languages : en
Pages : 588
Book Description
Publisher: Springer Nature
ISBN: 9464634170
Category :
Languages : en
Pages : 588
Book Description
Data Mining and Big Data
Author: Ying Tan
Publisher: Springer
ISBN: 3319938037
Category : Computers
Languages : en
Pages : 792
Book Description
This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications
Publisher: Springer
ISBN: 3319938037
Category : Computers
Languages : en
Pages : 792
Book Description
This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications
Assessment Literacy
Author: Thomas DeVere Wolsey
Publisher: Guilford Publications
ISBN: 1462542085
Category : Education
Languages : en
Pages : 209
Book Description
This clear, no-nonsense book guides current and future teachers through the concepts, tools, methods, and goals of classroom literacy assessment. The expert authors examine the roles of formative, summative, and benchmark assessments; demystify state and national tests and standards; and show how assessment can seamlessly inform instruction. Strategies for evaluating, choosing, and interpreting assessments are discussed, as are ways to communicate data to parents and administrators. User-friendly resources include boxed vignettes from teachers and researchers, practical assessment tips (and traps to avoid), and 12 reproducible planning forms and handouts. Purchasers get access to a Web page where they can download and print the reproducible materials in a convenient 8 1/2" x 11" size.
Publisher: Guilford Publications
ISBN: 1462542085
Category : Education
Languages : en
Pages : 209
Book Description
This clear, no-nonsense book guides current and future teachers through the concepts, tools, methods, and goals of classroom literacy assessment. The expert authors examine the roles of formative, summative, and benchmark assessments; demystify state and national tests and standards; and show how assessment can seamlessly inform instruction. Strategies for evaluating, choosing, and interpreting assessments are discussed, as are ways to communicate data to parents and administrators. User-friendly resources include boxed vignettes from teachers and researchers, practical assessment tips (and traps to avoid), and 12 reproducible planning forms and handouts. Purchasers get access to a Web page where they can download and print the reproducible materials in a convenient 8 1/2" x 11" size.
Author:
Publisher: Springer Nature
ISBN: 2384762915
Category :
Languages : en
Pages : 699
Book Description
Publisher: Springer Nature
ISBN: 2384762915
Category :
Languages : en
Pages : 699
Book Description
The IC Toolkit
Author: Jim Knight
Publisher: Corwin Press
ISBN: 1071971611
Category : Education
Languages : en
Pages : 368
Book Description
Refine the art and craft of instructional coaching. For more than 25 years, Jim Knight and his team at the Instructional Coaching Group have been studying what excellence in instructional coaching looks and sounds like. Their findings—organized around 7 Success Factors for instructional coaches and shared via books, articles, and workshops—have helped many instructional coaches around the world to increase teacher effectiveness and improve outcomes for students. Bringing together for the first time a wealth of resources and practical tools, The IC Toolkit is designed to guide instructional coaches—either individually or, preferably, collectively—through a 36-week journey of practice, reflection, and learning. For instructional coaches who want to improve and leaders who want to set up meaningful learning experiences, the book provides concrete tools—including activities, checklists, case studies, and videos—that you can use every week. Additional features include One-page descriptions of each success factor A needs assessment to gauge your instructional coaching proficiency in the 7 Success Factors Learning paths to guide your use of the resources and enable meaningful exploration of each success factor End-of-chapter reflection questions The IC Toolkit makes it possible for every instructional coach to become highly proficient in the Success Factors. When instructional coaches become highly proficient in their craft, we can see students, teachers, and systems flourish.
Publisher: Corwin Press
ISBN: 1071971611
Category : Education
Languages : en
Pages : 368
Book Description
Refine the art and craft of instructional coaching. For more than 25 years, Jim Knight and his team at the Instructional Coaching Group have been studying what excellence in instructional coaching looks and sounds like. Their findings—organized around 7 Success Factors for instructional coaches and shared via books, articles, and workshops—have helped many instructional coaches around the world to increase teacher effectiveness and improve outcomes for students. Bringing together for the first time a wealth of resources and practical tools, The IC Toolkit is designed to guide instructional coaches—either individually or, preferably, collectively—through a 36-week journey of practice, reflection, and learning. For instructional coaches who want to improve and leaders who want to set up meaningful learning experiences, the book provides concrete tools—including activities, checklists, case studies, and videos—that you can use every week. Additional features include One-page descriptions of each success factor A needs assessment to gauge your instructional coaching proficiency in the 7 Success Factors Learning paths to guide your use of the resources and enable meaningful exploration of each success factor End-of-chapter reflection questions The IC Toolkit makes it possible for every instructional coach to become highly proficient in the Success Factors. When instructional coaches become highly proficient in their craft, we can see students, teachers, and systems flourish.
The Data Science Framework
Author: Juan J. Cuadrado-Gallego
Publisher: Springer Nature
ISBN: 3030510239
Category : Computers
Languages : en
Pages : 194
Book Description
This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.
Publisher: Springer Nature
ISBN: 3030510239
Category : Computers
Languages : en
Pages : 194
Book Description
This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.
Services Computing – SCC 2021
Author: Ajay Katangur
Publisher: Springer Nature
ISBN: 303096566X
Category : Computers
Languages : en
Pages : 103
Book Description
This volume constitutes the proceedings of the 18th International Conference on Services Computing 2021, held as Part of SCF 2021 in December 2021 as a virtual event due to COVID-19. The 5 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 21 submissions. It covers the science and technology of leveraging computing and information technology to model, create, operate, and manage business services.
Publisher: Springer Nature
ISBN: 303096566X
Category : Computers
Languages : en
Pages : 103
Book Description
This volume constitutes the proceedings of the 18th International Conference on Services Computing 2021, held as Part of SCF 2021 in December 2021 as a virtual event due to COVID-19. The 5 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 21 submissions. It covers the science and technology of leveraging computing and information technology to model, create, operate, and manage business services.
Driven by Data
Author: Paul Bambrick-Santoyo
Publisher: John Wiley & Sons
ISBN: 0470548746
Category : Education
Languages : en
Pages : 336
Book Description
Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.
Publisher: John Wiley & Sons
ISBN: 0470548746
Category : Education
Languages : en
Pages : 336
Book Description
Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.
Entrepreneurship and Big Data
Author: Meghna Chhabra
Publisher: CRC Press
ISBN: 1000455696
Category : Business & Economics
Languages : en
Pages : 301
Book Description
The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation. This book provides an overview of the various aspects of entrepreneurship, function, and contemporary forms. It covers a real-world understanding of how the entrepreneurial world works and the required new analytics thinking and computational skills. It also encompasses the essential elements needed when starting an entrepreneurial journey and offers inspirational case studies from key industry leaders. Ideal reading for aspiring entrepreneurs, Entrepreneurship and Big Data: The Digital Revolution is also useful to students, academicians, researchers, and practitioners.
Publisher: CRC Press
ISBN: 1000455696
Category : Business & Economics
Languages : en
Pages : 301
Book Description
The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation. This book provides an overview of the various aspects of entrepreneurship, function, and contemporary forms. It covers a real-world understanding of how the entrepreneurial world works and the required new analytics thinking and computational skills. It also encompasses the essential elements needed when starting an entrepreneurial journey and offers inspirational case studies from key industry leaders. Ideal reading for aspiring entrepreneurs, Entrepreneurship and Big Data: The Digital Revolution is also useful to students, academicians, researchers, and practitioners.
Data Science and Big Data: An Environment of Computational Intelligence
Author: Witold Pedrycz
Publisher: Springer
ISBN: 3319534742
Category : Technology & Engineering
Languages : en
Pages : 303
Book Description
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.
Publisher: Springer
ISBN: 3319534742
Category : Technology & Engineering
Languages : en
Pages : 303
Book Description
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.