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Data-Driven Alexa Skills: Voice Access to Rich Data Sources for Enterprise Applications, Kingaby Simon A.


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Цена: 9083.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Kingaby Simon A.
Название:  Data-Driven Alexa Skills: Voice Access to Rich Data Sources for Enterprise Applications
ISBN: 9781484274484
Издательство: Springer
Классификация:




ISBN-10: 1484274482
Обложка/Формат: Paperback
Страницы: 440
Вес: 0.76 кг.
Дата издания: 01.12.2021
Серия: Critical explorations in science fiction and fantasy
Язык: English
Издание: 1st ed.
Иллюстрации: 239 illustrations, color; 16 illustrations, black and white; vii, 443 p. 255 illus., 239 illus. in color.
Размер: 25.40 x 17.78 x 2.26 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Economics admissions assessment collection. updated with the latest specification, 300+ practice questions and past papers, with fully worked solutions, time saving techniques, score boosting strategies, and formula sheets.
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Intermediate user level


Автор: S. Srinivasan
Название: Guide to Big Data Applications
ISBN: 3319538160 ISBN-13(EAN): 9783319538167
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics,   biology, energy, healthcare, and   business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Big Data Applications and Use Cases

Автор: Patrick C. K. Hung
Название: Big Data Applications and Use Cases
ISBN: 3319301446 ISBN-13(EAN): 9783319301440
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases.

Real World Data Mining Applications

Автор: Mahmoud Abou-Nasr; Stefan Lessmann; Robert Stahlbo
Название: Real World Data Mining Applications
ISBN: 3319078119 ISBN-13(EAN): 9783319078113
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Data mining applications range from commercial to social domains, with novel applications appearing swiftly; In that respect, research at the interface of information systems and data mining has significant potential to produce actionable knowledge vital for corporate decision-making.

Knowledge Discovery and Data Mining. Current Issues and New Applications

Автор: Takao Terano; Huan Liu; Arbee L.P. Chen
Название: Knowledge Discovery and Data Mining. Current Issues and New Applications
ISBN: 3540673822 ISBN-13(EAN): 9783540673828
Издательство: Springer
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Цена: 12577.00 р.
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Applications of Data-Centric Science to Social Design

Автор: Aki-Hiro Sato
Название: Applications of Data-Centric Science to Social Design
ISBN: 9811071934 ISBN-13(EAN): 9789811071935
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact, these three issues have been independently developing in different fields, although they are, of course, deeply interrelated to one another. Specifically, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed. Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects—human behavior, data-centric science, and social design—independently and with regard to the relationships among them.

Intelligent Methods and Big Data in Industrial Applications

Автор: Bembenik
Название: Intelligent Methods and Big Data in Industrial Applications
ISBN: 3319776037 ISBN-13(EAN): 9783319776033
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Data-Centric Business and Applications

Автор: Kryvinska
Название: Data-Centric Business and Applications
ISBN: 331994116X ISBN-13(EAN): 9783319941165
Издательство: Springer
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Цена: 13974.00 р.
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Описание: As such this book explores different aspects of data and information processing, including information generation, representation, structuring, organization, storage, retrieval, navigation, human factors in information systems, and the use of information.

Applications of Data Management and Analysis

Автор: Moshirpour
Название: Applications of Data Management and Analysis
ISBN: 3319958097 ISBN-13(EAN): 9783319958095
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective.

Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries.
Data-Centric Applications with Vaadin 8

Автор: Duarte Alejandro
Название: Data-Centric Applications with Vaadin 8
ISBN: 1783288841 ISBN-13(EAN): 9781783288847
Издательство: Неизвестно
Цена: 7171.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Vaadin is an open-source Java framework used to build modern user interfaces. Vaadin 8 simplifies application development and improves user experience. The book starts with an overview of the architecture of Vaadin applications. You will also learn advanced concepts like,internationalization, authentication, authorization, and database connectivity

Guide to Big Data Applications

Автор: S. Srinivasan
Название: Guide to Big Data Applications
ISBN: 3319852493 ISBN-13(EAN): 9783319852492
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics,   biology, energy, healthcare, and   business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Applications of Data Management and Analysis

Автор: Mohammad Moshirpour; Behrouz H. Far; Reda Alhajj
Название: Applications of Data Management and Analysis
ISBN: 3030070999 ISBN-13(EAN): 9783030070991
Издательство: Springer
Рейтинг:
Цена: 11179.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective.

Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries.
Applications of Big Data Analytics

Автор: Mohammed M. Alani; Hissam Tawfik; Mohammed Saeed;
Название: Applications of Big Data Analytics
ISBN: 3030094979 ISBN-13(EAN): 9783030094973
Издательство: Springer
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Цена: 13275.00 р.
Наличие на складе: Поставка под заказ.

Описание: This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery.Topics and features:Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicingExplores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plantsDescribes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenariosProposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disordersReviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree verticesPresents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessmentThis practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects.

Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.

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