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Data Resource Data: A Comprehensive Data Resource Understanding, Michael Brackett


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Цена: 58610.00T
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Склад Америка: 232 шт.  
При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Michael Brackett
Название:  Data Resource Data: A Comprehensive Data Resource Understanding
ISBN: 9781935504269
Издательство: Gazelle Book Services
Классификация:
ISBN-10: 1935504266
Обложка/Формат: Paperback
Страницы: 250
Вес: 0.61 кг.
Дата издания: 01.09.2014
Язык: English
Размер: 254 x 179 x 18
Читательская аудитория: General (us: trade)
Ключевые слова: Computer modelling & simulation
Подзаголовок: A comprehensive data resource understanding
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Поставляется из: Англии
Описание: Are you struggling to gain a thorough understanding of your organisations data resource? Are you finding that your data resource has become quite disparate through lack of understanding? Are you having difficulty developing meaningful meta-data about your data resource, or understanding the meta-data that have been developed? Do you agonise over finding a way to document your data resource that is thorough, understandable, and readily available? If the answer to any of these questions is Yes, then you need to read Data Resource Data to help you understand your organisations data resource. Most public and private sector organisations do not have a formal process for thoroughly documenting the entire data resource at their disposal, in any meaningful manner, that is readily available to everyone in the organisation. Most do not even have a formal design for that documentation. The much abused, misused, misspelled, undefined, and incomplete meta-data are not providing a denotative understanding of the organisations data resource, without which a high quality data resource cannot be developed. This book provides the complete detailed data resource model for understanding and managing data as a critical resource of the organisation. The model presents formal data resource data as a replacement for the relatively ineffective meta-data. It provides an excellent example of a formal data resource model, compared to a traditional data model, that can be easily implemented by any organisation. The use of data resource data ensures a thorough understanding of an organisations data resource and the development of a high quality comparate data resource. Like Data Resource Simplexity, Data Resource Integration and Data Resource Design, Michael Brackett draws on five decades of data management experience, in a wide variety of different public and private sector organisations, to understand and document an organisations data resource. He leverages theories, concepts, principles, and techniques from many different and varied disciplines, such as human dynamics, mathematics, physics, chemistry, philosophy, and biology, and applies them to the process of formally documenting an organisations data resource.

Computational Technologies: Advanced Topics

Автор: Petr N. Vabishchevich
Название: Computational Technologies: Advanced Topics
ISBN: 3110359944 ISBN-13(EAN): 9783110359947
Издательство: Walter de Gruyter
Цена: 61920.00 T
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Описание: This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.

Cultures of prediction in atmospheric and climate science

Название: Cultures of prediction in atmospheric and climate science
ISBN: 1138222984 ISBN-13(EAN): 9781138222984
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание:

In recent decades, science has experienced a revolutionary shift. The development and extensive application of computer modelling and simulation has transformed the knowledge‐making practices of scientific fields as diverse as astro‐physics, genetics, robotics and demography. This epistemic transformation has brought with it a simultaneous heightening of political relevance and a renewal of international policy agendas, raising crucial questions about the nature and application of simulation knowledges throughout public policy.

Through a diverse range of case studies, spanning over a century of theoretical and practical developments in the atmospheric and environmental sciences, this book argues that computer modelling and simulation have substantially changed scientific and cultural practices and shaped the emergence of novel 'cultures of prediction'.

Making an innovative, interdisciplinary contribution to understanding the impact of computer modelling on research practice, institutional configurations and broader cultures, this volume will be essential reading for anyone interested in the past, present and future of climate change and the environmental sciences.


Foundational and Practical Aspects of Resource Analysis

Автор: van Eekelen
Название: Foundational and Practical Aspects of Resource Analysis
ISBN: 3319465589 ISBN-13(EAN): 9783319465586
Издательство: Springer
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Цена: 39130.00 T
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Описание: This book constitutes the proceedings of the 4th International Workshop on Foundational and Practical Aspects of Resource Analysis, FOPARA 2015, held in London, UK, in April 2015. The 6 papers presented in this volume were carefully reviewed and selected from 7 submissions.

Adaptive Resource Management and Scheduling for Cloud Computing

Автор: Florin Pop; Maria Potop-Butucaru
Название: Adaptive Resource Management and Scheduling for Cloud Computing
ISBN: 3319284479 ISBN-13(EAN): 9783319284477
Издательство: Springer
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Цена: 37270.00 T
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Описание:

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, in Donostia-San Sebasti n, Spain, in July 2015.

The 12 revised full papers, including 1 invited paper, were carefully reviewed and selected from 24 submissions. The papers have identified several important aspects of the problem addressed by ARMS-CC: self-* and autonomous cloud systems, cloud quality management and service level agreement (SLA), scalable computing, mobile cloud computing, cloud computing techniques for big data, high performance cloud computing, resource management in big data platforms, scheduling algorithms for big data processing, cloud composition, federation, bridging, and bursting, cloud resource virtualization and composition, load-balancing and co-allocation, fault tolerance, reliability, and availability of cloud systems.


Beyond Manufacturing Resource Planning (MRP II)

Автор: Andreas Drexl; Alf Kimms
Название: Beyond Manufacturing Resource Planning (MRP II)
ISBN: 3642083935 ISBN-13(EAN): 9783642083938
Издательство: Springer
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Цена: 130430.00 T
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Описание: The logic of Manufacturing Resource Planning (MRP II) is im- plemented in most commercial production planning software tools and is commonly accepted by practitioners. As the list of authors proves, industrial engineers, computer scientists, and-operations researchers from academia as well as practitioners have contributed to this book.

Transparent data mining for big and small data.

Автор: Cerquitelli, Tania, Quercia, Daniele, Pasquale, Frank (Eds.)
Название: Transparent data mining for big and small data.
ISBN: 3319540238 ISBN-13(EAN): 9783319540238
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions.

Model and Data Engineering

Автор: Ladjel Bellatreche; Yannis Manolopoulos
Название: Model and Data Engineering
ISBN: 3319237802 ISBN-13(EAN): 9783319237800
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the refereed proceedings of the 5th International Conference on Model and Data Engineering, MEDI 2015, held in Rhodes, Greece, in September 2015. The papers are organized in topical sections such as modeling and meta modeling; ontology-based modeling, reasoning and reuse; context modeling and model transformation;

Data-Driven Methods for Adaptive Spoken Dialogue Systems

Автор: Oliver Lemon; Olivier Pietquin
Название: Data-Driven Methods for Adaptive Spoken Dialogue Systems
ISBN: 1489992839 ISBN-13(EAN): 9781489992833
Издательство: Springer
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Цена: 102480.00 T
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Описание: Based on dialogue systems freely available for academic use, this book covers state-of-the-art research in data-driven, machine-learning approaches to developing spoken conversational interfaces, collating the data from the EU`s groundbreaking CLASSIC project.

Implicit Curves and Surfaces: Mathematics, Data Structures and Algorithms

Автор: Abel Gomes; Irina Voiculescu; Joaquim Jorge; Brian
Название: Implicit Curves and Surfaces: Mathematics, Data Structures and Algorithms
ISBN: 1447158776 ISBN-13(EAN): 9781447158776
Издательство: Springer
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Цена: 65170.00 T
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Описание: In presenting the mathematics, computational methods and data structures, as well as the algorithms needed to render implicit curves and surfaces, the authors show how implicit objects can easily describe smooth, intricate, and shapes that articulate.

Modeling, Computing and Data Handling Methodologies for Maritime Transportation

Автор: Charalampos Konstantopoulos; Grammati Pantziou
Название: Modeling, Computing and Data Handling Methodologies for Maritime Transportation
ISBN: 3319618008 ISBN-13(EAN): 9783319618005
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book is one of very few in the maritime literature that solely focus on the latest developments in information technology (IT) methodologies in this field. It provides the reader with a concise overview of how IT can truly improve the efficacy of operations in the maritime industry. It consists of seven chapters that address a range of topics related to the synergy between Computer Science and Maritime Science. Specifically, Chapters 1 and 2 explore two important problems in maritime logistics pertaining to quayside operational planning, while Chapters 3 and 4 focus on maritime routing methodologies. Chapters 5 and 6 present decision-making support systems for safe shipping and port security. Last, Chapter 7 presents simulation methodologies for modeling maritime traffic. The intended readership of the book spans both an academic audience and professionals in the areas of Operational Research, Transportation Science, and Maritime Science interested in applying IT methodologies in their areas of expertise.

Forecast Error Correction using Dynamic Data Assimilation

Автор: Lakshmivarahan
Название: Forecast Error Correction using Dynamic Data Assimilation
ISBN: 3319399950 ISBN-13(EAN): 9783319399959
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book introduces the reader to a new method of data assimilation with deterministic constraints (exact satisfaction of dynamic constraints)—an optimal assimilation strategy called Forecast Sensitivity Method (FSM), as an alternative to the well-known four-dimensional variational (4D-Var) data assimilation method. 4D-Var works with a forward in time prediction model and a backward in time tangent linear model (TLM). The equivalence of data assimilation via 4D-Var and FSM is proven and problems using low-order dynamics clarify the process of data assimilation by the two methods. The problem of return flow over the Gulf of Mexico that includes upper-air observations and realistic dynamical constraints gives the reader a good idea of how the FSM can be implemented in a real-world situation.

Data Mining and Constraint Programming

Автор: Bessiere
Название: Data Mining and Constraint Programming
ISBN: 3319501364 ISBN-13(EAN): 9783319501369
Издательство: Springer
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Цена: 54040.00 T
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Описание: It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge.


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