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Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction, Joel Herndon


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Автор: Joel Herndon
Название:  Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction
ISBN: 9781783304608
Издательство: Facet
Классификация:






ISBN-10: 178330460X
Обложка/Формат: Hardcover
Страницы: 224
Вес: 0.40 кг.
Дата издания: 2021-10-28
Серия: Humanities
Язык: English
Размер: 160 x 243 x 17
Читательская аудитория: Professional and scholarly
Основная тема: Archiving, preservation & digitisation ,Data analysis: general,Data capture & analysis,Data mining,IT, Internet & electronic resources in libraries,Library & information services,Library, archive & information management, COMPUTERS / Data Modeling & Desig
Подзаголовок: Tools and strategies for supporting data-driven research and instruction
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Поставляется из: Англии
Описание: This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.

Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction

Автор: Joel Herndon
Название: Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction
ISBN: 1783304596 ISBN-13(EAN): 9781783304592
Издательство: Facet
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Цена: 84480.00 T
Наличие на складе: Нет в наличии.
Описание: This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.

Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.

Автор: Witten, Ian H.
Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.
ISBN: 0128042915 ISBN-13(EAN): 9780128042915
Издательство: Elsevier Science
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Цена: 61750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.

Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.

Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.

It contains

  • Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
  • Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
  • Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.

  • Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
  • Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
  • Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
  • Includes open-access online courses that introduce practical applications of the material in the book

Curating Research Data, Volume One: Practical Strategies for Your Digital Repository

Автор: Lisa R. Johnston
Название: Curating Research Data, Volume One: Practical Strategies for Your Digital Repository
ISBN: 083898858X ISBN-13(EAN): 9780838988589
Издательство: Mare Nostrum (Eurospan)
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Цена: 54340.00 T
Наличие на складе: Невозможна поставка.
Описание: Data are becoming the proverbial coin of the digital realm: a research commodity that might purchase reputation credit in a disciplinary culture of data sharing, or buy transparency when faced with funding agency mandates or publisher scrutiny. Unlike most monetary systems, however, digital data can flow in all too great an abundance. Not only does this currency actually “grow” on trees, but it comes from animals, books, thoughts, and each of us! And that is what makes data curation so essential. The abundance of digital research data challenges library and information science professionals to harness this flow of information streaming from research discovery and scholarly pursuit and preserve the unique evidence for future use.Volume One of Curating Research Data explores the variety of reasons, motivations, and drivers for why data curation services are needed in the context of academic and disciplinary data repository efforts. Twelve chapters, divided into three parts, take an in-depth look at the complex practice of data curation as it emerges around us. Part I sets the stage for data curation by describing current policies, data sharing cultures, and collaborative efforts currently underway that impact potential services. Part II brings several key issues, such as cost recovery and marketing strategy, into focus for practitioners when considering how to put data curation services in action. Finally, Part III describes the full lifecycle of data by examining the ethical and practical reuse issues that data curation practitioners must consider as we strive to prepare data for the future.Digital data is ubiquitous and rapidly reshaping how scholarship progresses now and into the future. The information expertise of librarians can help ensure the resiliency of digital data, and the information it represents, by addressing how the meaning, integrity, and provenance of digital data generated by researchers today will be captured and conveyed to future researchers.

Exploring research data management

Автор: Cox, Andrew Verbaan, Eddy
Название: Exploring research data management
ISBN: 178330278X ISBN-13(EAN): 9781783302789
Издательство: Facet
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Цена: 88000.00 T
Наличие на складе: Невозможна поставка.
Описание: Exploring Research Data Management is an accessible introduction to RDM with engaging tasks for the reader to follow and build their knowledge. It will be useful reading for all students studying librarianship and information management.

Open heritage data : an introduction to research, publishing and programming with open data in the heritage sector

Автор: Henriette Roued-Cunliffe
Название: Open heritage data : an introduction to research, publishing and programming with open data in the heritage sector
ISBN: 178330359X ISBN-13(EAN): 9781783303595
Издательство: Facet
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Цена: 95040.00 T
Наличие на складе: Невозможна поставка.
Описание: This book combines current research in open data practices in the heritage sector with technical step-by-step guides on how to work with heritage data for visualisation, mapping, and mining.

Big Data Analytics Strategies for the Smart Grid

Автор: Stimmel Carol L.
Название: Big Data Analytics Strategies for the Smart Grid
ISBN: 1482218283 ISBN-13(EAN): 9781482218282
Издательство: Taylor&Francis
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Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.

Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market.

The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls.

Discussing security and data privacy, it explores the role of the utility in protecting their customers' right to privacy while still engaging in forward-looking business practices. The book includes discussions of:

  • SAS for asset management tools
  • The AutoGrid approach to commercial analytics
  • Space-Time Insight's work at the California ISO (CAISO)

This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs.

At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to better understand the nuances of the engineering and business challenges unique to the utilities industry.


Handbook of Research on Records and Information Management Strategies for Enhanced Knowledge Coordination

Автор: Collence Takaingenhamo Chisita, Oluwole Olumide Durodolu, Rexwhite Tega Enakrire, Vusi Wonderboy Tsabedze
Название: Handbook of Research on Records and Information Management Strategies for Enhanced Knowledge Coordination
ISBN: 1799866181 ISBN-13(EAN): 9781799866183
Издательство: Mare Nostrum (Eurospan)
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Цена: 313230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Draws input from experts involved in records management, information science, library science, memory, and digital technology, creating a vanguard compendium of novel trends and praxis. The book highlights an array of topics under the scope of library science, information science, knowledge transfer, records management, and more.

Research Data Management

Автор: Ray Joyce M
Название: Research Data Management
ISBN: 1557536643 ISBN-13(EAN): 9781557536648
Издательство: Turpin
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Цена: 31970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximise the return on investment of public funds.To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management, and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers’ ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations. Contributors include: James L. Mullins, Purdue University; MacKenzie Smith, University of California at Davis; Sherry Lake, University of Virginia; Bernard Reilly, Center for Research Libraries; Jacob Carlson, Purdue University; Melissa Levine, University of Michigan; Jenn Riley, University of North Carolina at Chapel Hill; Jan Brase, German National Library of Science and Technology; Seamus Ross, University of Toronto; Michele Kimpton, DuraSpace; Brian Schottlaender, University of California, San Diego; Suzie Allard, University of Tennessee; Angus Whyte, Digital Curation Centre; Scott Brandt, Purdue University; Brian Westra, University of Oregon; Geneva Henry, Rice University; Gail Steinhart, Cornell University; and Cliff Lynch, Coalition for Networked Information.

Exploring research data management

Автор: Cox, Andrew Verbaan, Eddy
Название: Exploring research data management
ISBN: 1783302798 ISBN-13(EAN): 9781783302796
Издательство: Facet
Рейтинг:
Цена: 176000.00 T
Наличие на складе: Невозможна поставка.
Описание: Exploring Research Data Management is an accessible introduction to RDM with engaging tasks for the reader to follow and build their knowledge. It will be useful reading for all students studying librarianship and information management.

The New Metrics: Practical Assessment of Research Impact

Автор: Elaine Lasda
Название: The New Metrics: Practical Assessment of Research Impact
ISBN: 1789732700 ISBN-13(EAN): 9781789732702
Издательство: Emerald
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Цена: 92140.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: New methods in bibliometrics and alternative metrics provide us with information about research impact at both increasingly granular and global levels. Here, editor Elaine Lasda and a cast of expert contributors present a variety of case studies that demonstrate the practical utilization of these new scholarly metrics.

Curating Research Data, Volume Two: A Handbook of Current Practice

Автор: Lisa R. Johnston
Название: Curating Research Data, Volume Two: A Handbook of Current Practice
ISBN: 0838988628 ISBN-13(EAN): 9780838988626
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 54340.00 T
Наличие на складе: Невозможна поставка.
Описание: Data are becoming the proverbial coin of the digital realm: a research commodity that might purchase reputation credit in a disciplinary culture of data sharing, or buy transparency when faced with funding agency mandates or publisher scrutiny. Unlike most monetary systems, however, digital data can flow in all too great an abundance. Not only does this currency actually “grow” on trees, but it comes from animals, books, thoughts, and each of us! And that is what makes data curation so essential. The abundance of digital research data challenges library and information science professionals to harness this flow of information streaming from research discovery and scholarly pursuit and preserve the unique evidence for future use.Curating Research Data, Volume Two: A Handbook of Current Practice guides you across the data lifecycle through the practical strategies and techniques for curating research data in a digital repository setting. The data curation steps for receiving, appraising, selecting, ingesting, transforming, describing, contextualizing, disseminating, and preserving digital research data are each explored, and then supplemented with detailed case studies written by more than forty international practitioners from national, disciplinary, and institutional data repositories. The steps in this volume detail the sequential actions that you might take to curate a data set from receiving the data (Step 1) to eventual reuse (Step 8). Data curators, archivists, research data management specialists, subject librarians, institutional repository managers, and digital library staff will benefit from these current and practical approaches to data curation.Digital data is ubiquitous and rapidly reshaping how scholarship progresses now and into the future. The information expertise of librarians can help ensure the resiliency of digital data, and the information it represents, by addressing how the meaning, integrity, and provenance of digital data generated by researchers today will be captured and conveyed to future researchers.

Delivering Research Data Management Services: Fundamentals of Good Practice

Автор: Graham Pryor, Sarah Jones, Angus Whyte
Название: Delivering Research Data Management Services: Fundamentals of Good Practice
ISBN: 1783303077 ISBN-13(EAN): 9781783303076
Издательство: Facet
Рейтинг:
Цена: 211200.00 T
Наличие на складе: Невозможна поставка.
Описание: This groundbreaking guide will lead researchers, institutions and policy makers through the processes needed to set up and run effective institutional research data management services to support their researchers and networks.


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