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


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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.


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: 5870.00 р.
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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.

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: 16769.00 р.
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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.

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: 15372.00 р.
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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.

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: 15372.00 р.
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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: 8106.00 р.
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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.

Non-invasive data governance

Автор: Seiner, Robert S.
Название: Non-invasive data governance
ISBN: 1935504851 ISBN-13(EAN): 9781935504856
Издательство: Gazelle Book Services
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Цена: 8792.00 р.
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Описание:

Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance(TM) focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources.

Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how:

  • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work.
  • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods.
  • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives.
  • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset.
  • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.
Missing data and small-area estimation

Автор: Longford, Nicholas T. (de Montfort University)
Название: Missing data and small-area estimation
ISBN: 1849969078 ISBN-13(EAN): 9781849969079
Издательство: Springer
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Цена: 21661.00 р.
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Описание: For the Fellowship I proposed these two topics as areas in which the academic statistics could contribute to the development of government statistics, in exchange for access to the operational details and background that would inform the direction and sharpen the focus of a- demic research.

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: 5590.00 р.
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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.

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: 7826.00 р.
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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;

Uncertainty modeling for data mining

Автор: Qin, Zengchang Tang, Yongchuan
Название: Uncertainty modeling for data mining
ISBN: 3642412505 ISBN-13(EAN): 9783642412509
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Outlining a new research direction in fuzzy set theory applied to data mining, this volume proposes a number of new data mining algorithms and includes dozens of figures and illustrations that help the reader grasp the complexities of the concepts.

Modeling mobility with open data

Название: Modeling mobility with open data
ISBN: 3319150235 ISBN-13(EAN): 9783319150239
Издательство: Springer
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Цена: 28734.00 р.
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Описание: This contributed volume contains the conference proceedings of the Simulation of Urban Mobility (SUMO) conference 2014, Berlin. The included research papers cover a wide range of topics in traffic planning and simulation, including open data, vehicular communication, e-mobility, urban mobility, multimodal traffic as well as usage approaches.

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: 19564.00 р.
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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.


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