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Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, Arun K. Somani; Seeram Ramakrishna; Anil Chaudhary


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Цена: 6986.00р.
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Автор: Arun K. Somani; Seeram Ramakrishna; Anil Chaudhary
Название:  Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics
ISBN: 9789811382994
Издательство: Springer
Классификация:






ISBN-10: 9811382999
Обложка/Формат: Soft cover
Страницы: 364
Вес: 0.58 кг.
Дата издания: 2019
Серия: Communications in Computer and Information Science
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 111 illustrations, color; 82 illustrations, black and white; xiii, 364 p. 193 illus., 111 illus. in color.
Размер: 234 x 156 x 20
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Second International Conference, ICETCE 2019, Jaipur, India, February 1–2, 2019, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the Second International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, ICETCE 2019, held in Jaipur, India, in February 2019.The 28 revised full papers along with 1 short paper presented were carefully reviewed and selected from 253 submissions. ICETCE conference aims to showcase advanced technologies, techniques, innovations and equipments in computer engineering. It provides a platform for researchers, scholars, experts, technicians, government officials and industry personnel from all over the world to discuss and share their valuable ideas and experiences.
Дополнительное описание: Innovative Mindset.- Design of IoT Blockchain Based Smart Agriculture for Enlightening Safety and Security.- An Efficient and Adaptive Method for Collision Probability of Ships, Icebergs Using CNN and DBSCAN Clustering Algorithm.- Robust Moving Object Det



Microservices

Автор: Antonio Bucchiarone; Nicola Dragoni; Schahram Dust
Название: Microservices
ISBN: 3030316459 ISBN-13(EAN): 9783030316457
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

This book describes in contributions by scientists and practitioners the development of scientific concepts, technologies, engineering techniques and tools for a service-based society. The focus is on microservices, i.e cohesive, independent processes deployed in isolation and equipped with dedicated memory persistence tools, which interact via messages.
The book is structured in six parts. Part 1 “Opening” analyzes the new (and old) challenges including service design and specification, data integrity, and consistency management and provides the introductory information needed to successfully digest the remaining parts. Part 2 “Migration” discusses the issue of migration from monoliths to microservices and their loosely coupled architecture. Part 3 “Modeling” introduces a catalog and a taxonomy of the most common microservices anti-patterns and identifies common problems. It also explains the concept of RESTful conversations and presents insights from studying and developing two further modeling approaches. Next , Part 4 is dedicated to various aspects of “Development and Deployment”. Part 5 then covers “Applications” of microservices, presenting case studies from Industry 4.0, Netflix, and customized SaaS examples. Eventually, Part 6 focuses on “Education” and reports on experiences made in special programs, both at academic level as a master program course and for practitioners in an industrial training.
As only a joint effort between academia and industry can lead to the release of modern paradigm-based programming languages, and subsequently to the deployment of robust and scalable software systems, the book mainly targets researchers in academia and industry who develop tools and applications for microservices.
The Impact of Emerging Technologies on Computer Science and Operations Research

Автор: Stephen G. Nash; Ariela Sofer
Название: The Impact of Emerging Technologies on Computer Science and Operations Research
ISBN: 1461359341 ISBN-13(EAN): 9781461359340
Издательство: Springer
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Цена: 32142.00 р.
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Описание: The emergence of high-performance computers and sophisticated software tech- nology has led to significant advances in the development and application of operations research.

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Автор: Kah Phooi Seng; Li-minn Ang; Alan Wee-Chung Liew;
Название: Multimodal Analytics for Next-Generation Big Data Technologies and Applications
ISBN: 3319975978 ISBN-13(EAN): 9783319975979
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.

Handbook of Big Data Technologies

Автор: Albert Y. Zomaya; Sherif Sakr
Название: Handbook of Big Data Technologies
ISBN: 3319841386 ISBN-13(EAN): 9783319841380
Издательство: Springer
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Цена: 55901.00 р.
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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.

Data Analytics Applications in Gaming and Entertainment

Автор: Gunter Wallner
Название: Data Analytics Applications in Gaming and Entertainment
ISBN: 1138104434 ISBN-13(EAN): 9781138104433
Издательство: Taylor&Francis
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Цена: 16078.00 р.
Наличие на складе: Нет в наличии.

Описание: Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

Автор: Wei Lee Woon; Zeyar Aung; Alejandro Catalina Feli?
Название: Data Analytics for Renewable Energy Integration. Technologies, Systems and Society
ISBN: 3030043029 ISBN-13(EAN): 9783030043025
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018.The 9 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response, and many others.

Intelligent Web Data Management: Software Architectures and Emerging Technologies

Автор: Kun Ma; Ajith Abraham; Bo Yang; Runyuan Sun
Название: Intelligent Web Data Management: Software Architectures and Emerging Technologies
ISBN: 3319301918 ISBN-13(EAN): 9783319301914
Издательство: Springer
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Цена: 16979.00 р.
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Описание: This bookpresents some of the emerging techniques and technologies used to handle Webdata management. The Volume will be a valuable reference toresearchers, students and practitioners in the field of Web data management,cloud computing, social networks using advanced intelligence tools.

Emerging Technologies in Data Mining and Information Security

Автор: Ajith Abraham; Paramartha Dutta; Jyotsna Kumar Man
Название: Emerging Technologies in Data Mining and Information Security
ISBN: 9811319502 ISBN-13(EAN): 9789811319501
Издательство: Springer
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Цена: 39130.00 р.
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Описание: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.

Cloud Infrastructures For Big Data Analytics

Автор: Raj & Chandra Deka
Название: Cloud Infrastructures For Big Data Analytics
ISBN: 1466658649 ISBN-13(EAN): 9781466658646
Издательство: Mare Nostrum (Eurospan)
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Цена: 50312.00 р.
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Описание: Clouds are being positioned as the next-generation consolidated, centralised, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional, applications and services.Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organisations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Big Data Analytics Methods

Автор: Ghavami Peter
Название: Big Data Analytics Methods
ISBN: 1547417951 ISBN-13(EAN): 9781547417957
Издательство: Walter de Gruyter
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Цена: 12831.00 р.
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Описание:

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics.

The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.

Emerging Perspectives in Big Data Warehousing

Автор: Taniar David, Rahayu Wenny
Название: Emerging Perspectives in Big Data Warehousing
ISBN: 1522555161 ISBN-13(EAN): 9781522555162
Издательство: Mare Nostrum (Eurospan)
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Цена: 35897.00 р.
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Описание: The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.

Data Mining and Predictive Analytics

Автор: Larose Daniel T
Название: Data Mining and Predictive Analytics
ISBN: 1118116194 ISBN-13(EAN): 9781118116197
Издательство: Wiley
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Цена: 18842.00 р.
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Описание: Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.


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