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Data-Driven Law: Data Analytics and the New Legal Services, Walters Edward J.


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Цена: 47970.00T
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Склад Америка: 194 шт.  
При оформлении заказа до: 2025-08-18
Ориентировочная дата поставки: конец Сентября - начало Октября
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Автор: Walters Edward J.
Название:  Data-Driven Law: Data Analytics and the New Legal Services
ISBN: 9781032095004
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1032095008
Обложка/Формат: Paperback
Страницы: 228
Вес: 0.33 кг.
Дата издания: 30.06.2021
Серия: Data analytics applications
Язык: English
Иллюстрации: 30 illustrations, black and white
Размер: 23.39 x 15.60 x 1.22 cm
Читательская аудитория: Undergraduate
Подзаголовок: Data analytics and the new legal services
Рейтинг:
Поставляется из: Европейский союз
Описание: Data has reshaped industries around the world, from finance and medicine to sports. Law has trailed behind other industries, but is quickly following suit. For many years, law firms made important decisions - including very large decisions - based on limited experience (at best), or hunches (at worst). Data science is growing quickly in law firm

Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications

Автор: Imriyas Kamardeen
Название: Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications
ISBN: 1138087459 ISBN-13(EAN): 9781138087453
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Нет в наличии.
Описание: This book aims to apply data mining and analytic techniques to past workplace accident data to discover patterns that facilitate the development of innovative models and strategies.

Learning Analytics in Education

Автор: David Niemi, Roy D. Pea, Bror Saxberg, Richard E. Clark
Название: Learning Analytics in Education
ISBN: 1641133694 ISBN-13(EAN): 9781641133692
Издательство: Mare Nostrum (Eurospan)
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Цена: 50820.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive introduction by an extraordinary range of experts to the recent and rapidly developing field of learning analytics. Some of the finest current thinkers about ways to interpret and benefit from the increasing amount of evidence from learners’ experiences have taken time to explain their methods, describe examples, and point out new underpinnings for the field. Together, they show how this new field has the potential to dramatically increase learner success through deeper understanding of the academic, social-emotional, motivational, identity and meta-cognitive context each learner uniquely brings. Learning analytics is much more than “analyzing learning data”—it is about deeply understanding what learning activities work well, for whom, and when.Learning Analytics in Education provides an essential framework, as well as guidance and examples, for a wide range of professionals interested in the future of learning. If you are already involved in learning analytics, or otherwise trying to use an increasing density of evidence to understand learners’ progress, these leading thinkers in the field may give you new insights. If you are engaged in teaching at any level, or training future teachers/faculty for this new, increasingly technology-enhanced learning world, and want some sense of the potential opportunities (and pitfalls) of what technology can bring to your teaching and students, these forward-thinking leaders can spark your imagination. If you are involved in research around uses of technology, improving learning measurements, better ways to use evidence to improve learning, or in more deeply understanding human learning itself, you will find additional ideas and insights from some of the best thinkers in the field here. If you are involved in making administrative or policy decisions about learning, you will find new ideas (and dilemmas) coming your way from inevitable changes in how we design and deliver instruction, how we measure the outcomes, and how we provide feedback to students, teachers, developers, administrators, and policy-makers. For all these players, the trick will be to get the most out of all the new developments to efficiently and effectively improve learning performance, without getting distracted by “shiny” technologies that are disconnected from how human learning and development actually work.

Learning Analytics in Education

Автор: David Niemi, Roy D. Pea, Bror Saxberg, Richard E. Clark
Название: Learning Analytics in Education
ISBN: 1641133708 ISBN-13(EAN): 9781641133708
Издательство: Mare Nostrum (Eurospan)
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Цена: 94250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a comprehensive introduction by a range of experts to the recent and rapidly developing field of learning analytics. Contributors show how this new field has the potential to increase learner success through understanding of the academic, social-emotional, motivational, identity and meta-cognitive context each learner brings.

Data Analytics and Psychometrics: Informing Assessment Practices

Автор: Hong Jiao, Robert W. Lissitz, Anna Van Wie
Название: Data Analytics and Psychometrics: Informing Assessment Practices
ISBN: 1641133279 ISBN-13(EAN): 9781641133272
Издательство: Mare Nostrum (Eurospan)
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Цена: 94250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments. In addition to item response data, other data collected in the process of assessment and learning will be utilized to help solve psychometric challenges and facilitate learning and other educational applications. Process data include those collected or available for collection during the process of assessment and instructional phase such as responding sequence data, log files, the use of help features, the content of web searches, etc. Some book chapters present the general exploration of process data in large -scale assessment. Further, other chapters also address how to integrate psychometrics and learning analytics in assessment and survey, how to use data mining techniques for security and cheating detection, how to use more assessment results to facilitate student’s learning and guide teacher’s instructional efforts. The book includes both theoretical and methodological presentations that might guide the future in this area, as well as illustrations of efforts to implement big data analytics that might be instructive to those in the field of learning and psychometrics. The context of the effort is diverse, including K-12, higher education, financial planning, and survey utilization. It is hoped that readers can learn from different disciplines, especially those who are specialized in assessment, would be critical to expand the ideas of what we can do with data analytics for informing assessment practices.

Big Data Analytics: Methods and Applications

Автор: Jovan Pehcevski
Название: Big Data Analytics: Methods and Applications
ISBN: 1773615041 ISBN-13(EAN): 9781773615042
Издательство: Mare Nostrum (Eurospan)
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Цена: 164470.00 T
Наличие на складе: Невозможна поставка.
Описание: Examines various big data modelling and analytics approaches, infrastructure and security issues in the analysis of big data, and applications of big data in business, finance and management. The book provides an understanding of the applications of big data analytics along with its opportunities and challenges.

Business Analytics

Автор: Vidgen Richard
Название: Business Analytics
ISBN: 1352007258 ISBN-13(EAN): 9781352007251
Издательство: Springer
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Цена: 49370.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Excellence in People Analytics: How to Use Workforce Data to Create Business Value

Автор: Ferrar Jonathan, Green David
Название: Excellence in People Analytics: How to Use Workforce Data to Create Business Value
ISBN: 1789661188 ISBN-13(EAN): 9781789661187
Издательство: Неизвестно
Цена: 229290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Collect, analyze and leverage people data for improved business performance.

Spatio-Temporal Graph Data Analytics

Автор: Venkata M. V. Gunturi; Shashi Shekhar
Название: Spatio-Temporal Graph Data Analytics
ISBN: 3319884867 ISBN-13(EAN): 9783319884868
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms.

Cognitive Social Mining Applications in Data Analytics and Forensics

Автор: Anandakumar Haldorai, Arulmurugan Ramu
Название: Cognitive Social Mining Applications in Data Analytics and Forensics
ISBN: 1522575227 ISBN-13(EAN): 9781522575221
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 189420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data.Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.

Data-Driven HR: How to Use Analytics and Metrics to Drive Performance

Автор: Marr Bernard
Название: Data-Driven HR: How to Use Analytics and Metrics to Drive Performance
ISBN: 1398693863 ISBN-13(EAN): 9781398693869
Издательство: Неизвестно
Рейтинг:
Цена: 156330.00 T
Наличие на складе: Нет в наличии.
Описание: Use data, analytics and metrics to make better HR decisions for your business.

Data driven decision making using analytics

Автор: Parul Gandhi; Surbhi Bhatia; Kapil Dev;
Название: Data driven decision making using analytics
ISBN: 1032058277 ISBN-13(EAN): 9781032058276
Издательство: Taylor&Francis
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Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining.Features:Covers descriptive statistics with respect to predictive analytics and business analytics.Discusses different data analytics platforms for real-time applications.Explain SMART business models.Includes algorithms in data sciences alongwith automated methods and models.Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics.This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

Advanced Data Analytics for Power Systems

Автор: Ali Tajer, Samir M. Perlaza, H. Vincent Poor
Название: Advanced Data Analytics for Power Systems
ISBN: 1108494757 ISBN-13(EAN): 9781108494755
Издательство: Cambridge Academ
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Цена: 109830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Experts in data analytics and power engineering present theories addressing the needs of modern power systems. Covering theory and application to the solution of power system problems relating to reliability, efficiency, and security, this is an essential resource for graduate students and researchers in academia and industry.


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