Описание: Getting numbers is easy; getting trustworthy numbers is hard. From experimentation leaders at Amazon, Google, LinkedIn, and Microsoft, this guide to accelerating innovation using A/B tests includes practical examples, pitfalls, and advice for students and industry professionals, plus deeper dives into advanced topics for experienced practitioners.
Название: Research 2.0 and the impact of digital technologies on scholarly inquiry / ISBN: 1522508309 ISBN-13(EAN): 9781522508304 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 18919.00 р. 27027.00-30% Наличие на складе: Есть (1 шт.) Описание: The academic landscape has been significantly enhanced by the advent of new technology. These tools allow researchers easier information access to better increase their knowledge base.Research 2.0 and the Impact of Digital Technologies on Scholarly Inquiry is an authoritative reference source for the latest insights on the impact of web services and social technologies for conducting academic research. Highlighting international perspectives, emerging scholarly practices, and real-world contexts, this book is ideally designed for academicians, practitioners, upper-level students, and professionals interested in the growing field of digital scholarship.
Описание: Presents the latest advances in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
Описание: Provides everything readers need to know for applying the power of informatics to materials science There is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and informatics, it introduces readers to up-to-date data mining and machine learning methods. It also provides an overview of state-of-the-art software and tools. Case studies illustrate the power of materials informatics in guiding the experimental discovery of new materials. Materials Informatics: Methods, Tools and Applications is presented in two parts?Methodological Aspects of Materials Informatics and Practical Aspects and Applications. The first part focuses on developments in software, databases, and high-throughput computational activities. Chapter topics include open quantum materials databases; the ICSD database; open crystallography databases; and more. The second addresses the latest developments in data mining and machine learning for materials science. Its chapters cover genetic algorithms and crystal structure prediction; MQSPR modeling in materials informatics; prediction of materials properties; amongst others. -Bridges the gap between materials science and informatics -Covers all the known methodologies and applications of materials informatics -Presents case studies that illustrate the power of materials informatics in guiding the experimental quest for new materials -Examines the state-of-the-art software and tools being used today Materials Informatics: Methods, Tools and Applications is a must-have resource for materials scientists, chemists, and engineers interested in the methods of materials informatics.
Автор: Albert Y. Zomaya; Sherif Sakr Название: Handbook of Big Data Technologies ISBN: 3319493396 ISBN-13(EAN): 9783319493398 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms.
Описание: Big data is a well-trafficked subject in recent IT discourse and does not lack for current research. In fact, there is such a surfeit of material related to big data—and so much of it of questionably reliability, thanks to the high-gloss efforts of savvy tech-marketing gurus—that it can, at times, be difficult for a serious academician to navigate.The Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence cuts through the haze of glitz and pomp surrounding big data and offers a simple, straightforward reference-source of practical academic utility. Covering such topics as cloud computing, parallel computing, natural language processing, and personalized medicine, this volume presents an overview of current research, insight into recent advances, and gaps in the literature indicative of opportunities for future inquiry and is targeted toward a broad, interdisciplinary audience of students, academics, researchers, and professionals in fields of IT, networking, and data-analytics.
Название: Emerging Technologies of Text Mining ISBN: 1599043734 ISBN-13(EAN): 9781599043739 Издательство: Turpin Рейтинг: Цена: 33264.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides technical information related to the computational models of the TM process.
Описание: Explores new developments in the field of information and communication technologies and explores how complex information systems interact with and affect one another, woven into the fabric of an information-rich world. This handbook includes coverage of customer experience management, information systems planning, cellular networking, public policy development, and knowledge governance.
Автор: Manoj Kumar Singh Название: Handbook of Research on Big Data Management and Applications ISBN: 1522501827 ISBN-13(EAN): 9781522501824 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 51005.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fuelled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students.
Описание: Provides analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. Chapters introduce feature engineering and recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data.
Автор: Albert Y. Zomaya; Sherif Sakr Название: Handbook of Big Data Technologies ISBN: 3319841386 ISBN-13(EAN): 9783319841380 Издательство: Springer Рейтинг: Цена: 55901.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms.
Описание: The respective contributions focus on complex social systems and current methodological advances in extracting social knowledge from large data sets, as well as modern social research on human behavior and society using large data sets.
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