Learning from Data Streams in Evolving Environments, Moamar Sayed-Mouchaweh

Автор: Sayed-Mouchaweh
Название: Learning from Data Streams in Evolving Environments
ISBN: 3319898027 ISBN-13(EAN): 9783319898025
Издательство: Springer
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Цена: 93160.00 T
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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.

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.

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.

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.

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.

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.

Автор: Roy, Abhishek , Saxena, Navrati
Название: Data Scheduling and Transmission Strategies in Asymmetric Telecommunication Environments
ISBN: 036744612X ISBN-13(EAN): 9780367446123
Издательство: Taylor&Francis
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Цена: 58170.00 T
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Описание: This book presents a framework for a new hybrid scheduling strategy for heterogeneous, asymmetric telecommunication environments. It discusses comparative advantages and disadvantages of push, pull, and hybrid transmission strategies, together with practical consideration and mathematical reasoning.

Автор: Mishra B. S. P., Dehuri Satchidananda, Kim Euiwhan
Название: Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing
ISBN: 3319801600 ISBN-13(EAN): 9783319801605
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Mugnaini Rogйrio
Название: Data and Information in Online Environments: First Eai International Conference, Dione 2020, Florianуpolis, Brazil, March 19-20, 2020, Proceedings
ISBN: 3030500713 ISBN-13(EAN): 9783030500719
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed post-conference proceedings of the First International Conference on Data and Information in Online Environments, DIONE 2020, which took place in Florianopolis, Brazil, in March 2020. DIONE 2020 handles the growing interaction between the information sciences, communication sciences and computer sciences.