Data Management on New Hardware, Spyros Blanas; Rajesh Bordawekar; Tirthankar Lahir
Автор: Qing Li; Ling Feng; Jian Pei; X. Sean Wang; Xiaofa Название: Advances in Data and Web Management ISBN: 364200671X ISBN-13(EAN): 9783642006715 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the proceedings of the joint International Conference APWeb/WAIM 2009 which was held in Suzhou, China, during April 1-4, 2009. This work covers topics including query processing, topic-based techniques, Web data processing, multidimensional data analysis, stream data processing and data management support to advanced applications.
Автор: Joaquin Garcia-Alfaro; Guillermo Navarro-Arribas; Название: Data Privacy Management and Autonomous Spontaneous Security ISBN: 3642112064 ISBN-13(EAN): 9783642112065 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 4th International Workshop DPM 2009 and Second International Workshop SETOP 2009 St Malo France Sep. .
Автор: Plattner Hasso Название: Course in in-Memory Data Management ISBN: 3642552692 ISBN-13(EAN): 9783642552694 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management.
Автор: Hu & Kaabouch Название: Big Data Management, Technologies, And Applications ISBN: 1466646993 ISBN-13(EAN): 9781466646995 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
This brief offers a valuable resource on principles of quality-of-service (QoS) provisioning and the related link-layer resource management techniques for high data-rate wireless networks. The primary emphasis is on protocol modeling and analysis. It introduces media access control (MAC) protocols, standards of wireless local area networks (WLANs), wireless personal area networks (WPANs), and wireless body area networks (WBANs), discussing their key technologies, applications, and deployment scenarios. The main analytical approaches and models for performance analysis of the fundamental resource scheduling mechanisms, including the contention-based, reservation-based, and hybrid MAC, are presented.
To help readers understand and evaluate system performance, the brief contains a range of simulation results. In addition, a thorough bibliography provides an additional tool. This brief is an essential resource for engineers, researchers, students, and users of wireless networks.
Описание: This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
Автор: Wang Название: Biomedical Data Management and Graph Online Querying ISBN: 3319415751 ISBN-13(EAN): 9783319415758 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Information Retrieval and Data Analytics for Electronic Medical Records.- Vector Space Model for Encoding and Retrieving Longitudinal Medical Records Data.- The Study of the Compatibility Rules of Traditional Chinese Medicine Based on Apriori and HMETIS Hypergraph Partitioning Algorithm.- Comparing Small Graph Retrieval Performance for Ontology Concepts in Medical Texts.- Data Management and Visualization of Medical Data.- Maps of Human Disease: A Web-Based Framework for the Visualization of Human Disease Comorbidity and Clinical Profile.- Secure Similarity Queries: Enabling Precision Medicine with Privacy.- Time-, Energy-, and Monetary Cost-Aware Cache Design for a Mobile-Cloud Database System.- Biomedical Data Sharing and Integration.- Challenges of Reasoning with Multiple Knowledge Sources in the Context of Drug Induced Liver Injury.- BiobankCloud: a Platform for the Secure Storage, Sharing, and Processing of Large Biomedical Data Sets.- Medical Imaging Analytics.- Three-Dimensional Data Analytics for Pathology Imaging.- Automated Analysis of Muscle X-ray Diffraction Imaging with MCMC.- SparkGIS: Efficient Comparison and Evaluation of Algorithm Results in Tissue Image Analysis Studies.- Big-Graphs Online Querying.- Social Network Analytics: Beyond the Obvious.- S2X: Graph-Parallel Querying of RDF with GraphX.- The Time Has Come: Traversal and Reachability in Time-Varying Graphs.- Robust Cardinality Estimation for Subgraph Isomorphism Queries on Property Graphs.
Автор: Li Yan; Zongmin Ma; Fu Zhang Название: Fuzzy XML Data Management ISBN: 3642448984 ISBN-13(EAN): 9783642448980 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details recent advances in fuzzy XML data management. Coverage includes: representation of fuzzy XML, query of fuzzy XML, fuzzy database models, extraction of fuzzy XML from fuzzy database models and reasoning of fuzzy XML.
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.
Описание: Introduction.- Allocation of Virtual Machines.- Transformation of Data Center Networks.- Allocation of Servers.- Performance Evaluation.- Conclusion.
Автор: Fusheng Wang; Lixia Yao; Gang Luo Название: Data Management and Analytics for Medicine and Healthcare ISBN: 3319577409 ISBN-13(EAN): 9783319577401 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016.
Автор: Leonid Kalinichenko; Sergei O. Kuznetsov; Yannis M Название: Data Analytics and Management in Data Intensive Domains ISBN: 3319571346 ISBN-13(EAN): 9783319571348 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016.
The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.
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