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Emerging Technologies and Applications in Data Processing and Management, Ma Zongmin, Yan Li


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Автор: Ma Zongmin, Yan Li
Название:  Emerging Technologies and Applications in Data Processing and Management
ISBN: 9781522585053
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1522585052
Обложка/Формат: Paperback
Страницы: 484
Вес: 1.11 кг.
Дата издания: 13.05.2019
Язык: English
Размер: 27.99 x 21.59 x 2.46 cm
Читательская аудитория: Professional & vocational
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Поставляется из: Англии
Описание: Examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is aimed at professionals, researchers, academics, data analysts, web developers, and web engineers.

Toward Social Internet of Things (Siot): Enabling Technologies, Architectures and Applications: Emerging Technologies for Connected and Smart Social O

Автор: Hassanien Aboul Ella, Bhatnagar Roheet, Khalifa Nour Eldeen M.
Название: Toward Social Internet of Things (Siot): Enabling Technologies, Architectures and Applications: Emerging Technologies for Connected and Smart Social O
ISBN: 3030245152 ISBN-13(EAN): 9783030245153
Издательство: Springer
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Цена: 93160.00 T
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Описание: This unique book discusses a selection of highly relevant topics in the Social Internet of Things (SIoT), including blockchain, fog computing and data fusion.

Big Data Management, Technologies, And Applications

Автор: Hu & Kaabouch
Название: Big Data Management, Technologies, And Applications
ISBN: 1466646993 ISBN-13(EAN): 9781466646995
Издательство: Mare Nostrum (Eurospan)
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Цена: 170010.00 T
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Описание: Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size.Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.

Data Management Technologies and Applications

Автор: Markus Helfert; Andreas Holzinger; Orlando Belo; C
Название: Data Management Technologies and Applications
ISBN: 3319259350 ISBN-13(EAN): 9783319259352
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the thoroughly refereed proceedings of the Third International Conference on Data Technologies and Applications, DATA 2014, held in Vienna, Austria, in August 2014. The 12 revised full papers were carefully reviewed and selected from 87 submissions.

Web Technologies and Applications

Автор: Li
Название: Web Technologies and Applications
ISBN: 3319458132 ISBN-13(EAN): 9783319458137
Издательство: Springer
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Цена: 76400.00 T
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Описание: This LNCS double volume LNCS 9931-9932 constitutes the refereed proceedings of the 18th Asia-Pacific Conference APWeb 2016 held in Suzhou, China, in September 2016.

The 79 full papers and presented together with 24 short papers and 17 demo papers were carefully reviewed and selected from 215 submissions.
the focus of the conference was on following subjects:
Spatio-temporal, Textual and Multimedia Data ManagementSocial Media Data AnalysisModelling and Learning with Big DataStreaming and Real-time Data AnalysisRecommendation SystemData Quality and PrivacyQuery Optimization and Scalable Data Processing

Advanced Machine Learning Technologies and Applications

Автор: Aboul Ella Hassanien; Mohamed Tolba; Ahmad Taher A
Название: Advanced Machine Learning Technologies and Applications
ISBN: 3319134604 ISBN-13(EAN): 9783319134604
Издательство: Springer
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Цена: 76400.00 T
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Описание: This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. machine learning in watermarking/authentication and virtual machines;

Data Management Technologies and Applications

Автор: Chiara Francalanci; Markus Helfert
Название: Data Management Technologies and Applications
ISBN: 3319629107 ISBN-13(EAN): 9783319629100
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Data Technologies and Applications, DATA 2016, held in Colmar, France, in July 2016.

Data Management Technologies and Applications

Автор: Markus Helfert; Andreas Holzinger; Orlando Belo; C
Название: Data Management Technologies and Applications
ISBN: 3319301616 ISBN-13(EAN): 9783319301617
Издательство: Springer
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Цена: 46590.00 T
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Описание: This book constitutes the thoroughly refereed proceedingsof the Fourth International Conference on Data Technologies and Applications,DATA 2015, held in Colmar, France, in July 2015.The 9 revised full papers were carefully reviewed andselected from 70 submissions.

Data Management Technologies and Applications

Автор: Christoph Quix; Jorge Bernardino
Название: Data Management Technologies and Applications
ISBN: 3030266354 ISBN-13(EAN): 9783030266356
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and Applications, DATA 2018, held in Porto, Portugal, in July 2018. The 9 revised full papers were carefully reviewed and selected from 69 submissions. The papers deal with the following topics: databases, big data, data mining, data management, data security, and other aspects of information systems and technology involving advanced applications of data.

Transactions on Large-Scale Data- And Knowledge-Centered Systems XLIV: Special Issue on Data Management - Principles, Technologies, and Applications

Автор: Hameurlain Abdelkader, Tjoa A. Min, Lamarre Philippe
Название: Transactions on Large-Scale Data- And Knowledge-Centered Systems XLIV: Special Issue on Data Management - Principles, Technologies, and Applications
ISBN: 366262270X ISBN-13(EAN): 9783662622704
Издательство: Springer
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Цена: 46570.00 T
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Описание:

Scalable Saturation of Streaming RDF Triples.- Efficient Execution of Scientific Workflows in the Cloud through Adaptive Caching.- From Task Tuning to Task Assignment in Privacy-Preserving.- Secure Distributed Queries over Large Sets of Personal Home Boxes.- Evaluating Classification Feasibility Using Functional Dependencies.- Enabling Decision Support through Ranking and Summarization of Association Rules for TOTAL Customers.


Fog Data Analytics for Iot Applications: Next Generation Process Model with State of the Art Technologies

Автор: Tanwar Sudeep
Название: Fog Data Analytics for Iot Applications: Next Generation Process Model with State of the Art Technologies
ISBN: 9811560439 ISBN-13(EAN): 9789811560439
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud.

Data Management Technologies and Applications: 8th International Conference, Data 2019, Prague, Czech Republic, July 26-28, 2019, Revised Selected Pap

Автор: Hammoudi Slimane, Quix Christoph, Bernardino Jorge
Название: Data Management Technologies and Applications: 8th International Conference, Data 2019, Prague, Czech Republic, July 26-28, 2019, Revised Selected Pap
ISBN: 3030545946 ISBN-13(EAN): 9783030545949
Издательство: Springer
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Цена: 46570.00 T
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Описание: The papers deal with the following topics: decision support systems, data analytics, data and information quality, digital rights management, big data, knowledge management, ontology engineering, digital libraries, mobile databases, object-oriented database systems, and data integrity.

Web Technologies and Applications

Автор: Morishima
Название: Web Technologies and Applications
ISBN: 3319458345 ISBN-13(EAN): 9783319458342
Издательство: Springer
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Цена: 54040.00 T
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Описание:

Maximizing the Cooperative Influence Spread in a Social Network Oriented to Viral Marketing.- A Multi-Model Based Approach for Big Data Analytics: the Case on Education Grant Distribution.- Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog.- EMD-DSJoin: Efficient Similarity Join over Probabilistic Data Streams Based on Earth Mover's Distance.- Sentiment Analysis on User Reviews through Lexicon and Rule-based Approach.- Social Link Prediction Based on the Nodes' Information Transfer.- An Improved ML-kNN Approach Based on Coupled Similarity.- A Novel Recommendation Method Based on User's Interest and Heterogeneous Information.- Knee point-driven bottleneck detection algorithm for cloud service system.- Confirmatory Analysis on Influencing Factors When Mention Users in Twitter.- A stock recommendation strategy based on M-LDA model.- Short-term Forecasting and Application about Indoor Cooling Load Based on EDA-PSO-BP Algorithm.- Identifying Relevant Subgraphs in Large networks.- User-dependent Multi-relational Community Detection in Social Networks.- Compressing Streaming Graph Data Based on Triangulation.- Scene Classification in High Resolution Remotely Sensed Images based on PCANet.- Finding Top-k Places for Group Social Activities.- Temporal Spatial-Keyword Search On Databases Using SQL.- Features of Rumor Spreading on WeChat Moments.- Distance-Based Continuous Skylines On Geo-Textual Data.- Improving Urban Traffic Evacuation Capability in Emergency Response by Using Smart Phones.- Context Enhanced Keyword Extraction for Sparse Geo-entity Relation from Web Texts.- A Stacked Generalization Framework for City Traffic Related Geospatial Data Analysis.- Detection of Statistically Significant Bus Delay Aggregation by Spatial-Temporal Scanning.- Acquisition and Representation of Knowledge for Academic Field.- Using Learning Features to Find Similar Trajectories.- An Algorithm for Mining Moving Flock Patterns from Pedestrian Trajectories.



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