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Learning from Data Streams in Evolving Environments, Sayed-Mouchaweh


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Цена: 93160.00T
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Автор: Sayed-Mouchaweh
Название:  Learning from Data Streams in Evolving Environments
ISBN: 9783319898025
Издательство: Springer
Классификация:





ISBN-10: 3319898027
Обложка/Формат: Hardcover
Страницы: 317
Вес: 0.63 кг.
Дата издания: 2019
Серия: Studies in Big Data
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 96 tables, color; 96 illustrations, color; 35 illustrations, black and white; viii, 300 p. 131 illus., 96 illus. in color.
Размер: 234 x 156 x 19
Читательская аудитория: Professional & vocational
Основная тема: Communications Engineering, Networks
Подзаголовок: Methods and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Chapter1: Transfer Learning in Non-Stationary Environments.- Chapter2: A new combination of diversity techniques in ensemble classifiers for handling complex concept drift.- Chapter3: Analyzing and Clustering Pareto-Optimal Objects in Data Streams.- Chapter4: Error-bounded Approximation of Data Stream: Methods and Theories.- Chapter5: Ensemble Dynamics in Non-stationary Data Stream Classification.- Chapter6: Processing Evolving Social Networks for Change Detection based on Centrality Measures.- Chapter7: Large-scale Learning from Data Streams with Apache SAMOA.- Chapter8: Process Mining for Analyzing Customer Relationship Management Systems A Case Study.- Chapter9: Detecting Smooth Cluster Changes in Evolving Graph Sequences.- Chapter10: Efficient Estimation of Dynamic Density Functions with Applications in Data Streams.- Chapter11: A Survey of Methods of Incremental Support Vector Machine Learning.- Chapter12: On Social Network-based Algorithms for Data Stream Clustering.



Learning from Data Streams in Dynamic Environments

Автор: Moamar Sayed-Mouchaweh
Название: Learning from Data Streams in Dynamic Environments
ISBN: 3319256653 ISBN-13(EAN): 9783319256658
Издательство: Springer
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Цена: 60940.00 T
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Описание: Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.

Techniques and Environments for Big Data Analysis

Автор: B. S.P. Mishra; Satchidananda Dehuri; Euiwhan Kim;
Название: Techniques and Environments for Big Data Analysis
ISBN: 3319275186 ISBN-13(EAN): 9783319275185
Издательство: Springer
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Цена: 113190.00 T
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Описание: This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it.

Software Data Engineering for Network eLearning Environments

Автор: Santi Caball?; Jordi Conesa
Название: Software Data Engineering for Network eLearning Environments
ISBN: 3319683179 ISBN-13(EAN): 9783319683171
Издательство: Springer
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Цена: 107130.00 T
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Описание: This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders. Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information.

Data Dissemination in Wireless Computing Environments

Автор: Kian-Lee Tan; Beng Chin Ooi
Название: Data Dissemination in Wireless Computing Environments
ISBN: 0792378660 ISBN-13(EAN): 9780792378662
Издательство: Springer
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Цена: 149030.00 T
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Описание: Focuses on mechanisms that can provide unobstructed access to networks. This work provides a review of advances on energy-efficient data delivery protocols, wireless channel bandwidth utilization, broadcasting and cache invalidation strategies for clients with long disconnection time. It also compares and evaluates some of the promising schemes.

Expert Systems in Finance: Smart Financial Applications in Big Data Environments

Автор: Noura Metawa, Mohamed Elhoseny, Aboul Ella Hassanien, M. Kabir Hassan
Название: Expert Systems in Finance: Smart Financial Applications in Big Data Environments
ISBN: 0367109522 ISBN-13(EAN): 9780367109523
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание: This book provides an exhaustive review of the roles of expert systems within the financial sector, with particular reference to big data environments. It serves to stimulate the continued efforts of the application of intelligent systems that respond to the problem of big data processing in a smart banking and financial environment.

Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems, Ovidiu Vermesan Editor, Peter Friess Editor,

Название: Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems, Ovidiu Vermesan Editor, Peter Friess Editor,
ISBN: 8792982735 ISBN-13(EAN): 9788792982735
Издательство: Taylor&Francis
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Цена: 122490.00 T
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Описание: The book aims to provide a broad overview of various topics of the Internet of Things (IoT) from the research and development priorities to enabling technologies, architecture, security, privacy, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC ? Internet of Things European Research Cluster from technology to international cooperation and the global ""state of play"". The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level.Today we see the integration of Industrial, Business and Consumer Internet which is bringing together the Internet of People, Internet of Things, Internet of Energy, Internet of Vehicles, Internet of Media, Services and Enterprises in forming the backbone of the digital economy, the digital society and the foundation for the future knowledge and innovation based economy in supporting solutions for the emerging challenges of public health, aging population, environmental protection and climate change, the conservation of energy and scarce materials, enhancements to safety and security and the continuation and growth of economic prosperity.Penetration of smartphones and advances in machine to machine and wireless communication technology will be the main drivers for IoT development. The IoT contribution is in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge shared into the Internet of Everything. The connected devices are part of ecosystems connecting people, processes, data, and things which are communicating in the cloud using the increased storage and computing power and pushing for standardization of communication and metadata. In this context the next generation of the Cloud technologies will need to be flexible enough to scale autonomously, adaptive enough to handle constantly changing connections and resilient enough to stand up to the huge flows in data that will occur. For 2025 analysts forecast that there will be six devices per human on the planet, which means 50 billion more connected devices over the next 12 years. The Internet of Things market is connected to this devices growth from industrial machine to machine (M2M) systems, smart meters and wireless sensors. Enabling technologies such as nanoelectronics, MEMS, embedded systems, intelligent device management, smart phones, telematics, smart network infrastructure, cloud computing and software technologies will create new products, new services, new interfaces by creating smart environments and smart spaces with applications ranging from Smart Cities, smart transport, buildings, energy, grid, to smart health and life. Technical topics discussed in the book include:IntroductionInternet of Things in a wider context: Time for convergence.Internet of Things Strategic Research AgendaInterconnection and Integration of the Physical World into the Digital WorldScalable Architectures for IoT ApplicationsIoT standardisation requirements and initiatives. Standardisation and Innovation.Service Openness and InteroperabilitySoftware define and virtualization of network resourcesMobile devices enable IoT evolution fro m industrial applications to mass consumer applicationsInnovation through Interoperability and Standardisation when everything is connected anytime at anyplaceSecurity, privacy, trust, safety, dependability: new challenges for IoTInternet of Things Industrial Applications.

Mobile Platforms and Development Environments

Автор: Sumi Helal, Raja Bose, Wendong Li
Название: Mobile Platforms and Development Environments
ISBN: 1608458660 ISBN-13(EAN): 9781608458660
Издательство: Mare Nostrum (Eurospan)
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Цена: 36030.00 T
Наличие на складе: Невозможна поставка.
Описание: Mobile platform development has lately become a technological war zone with extremely dynamic and fluid movement, especially in the smart phone and tablet market space. This volume is a guide to the latest developments of the key mobile platforms that are shaping the mobile platform industry.


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