Building Historical Data Infrastructure PDF Download

Author: J. David Hacker
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Y. Sadahiro
Publisher: Springer Science & Business Media
ISBN: 443174097X
Category : Political Science
Languages : en
Pages : 176

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This book represents part of the result of a project undertaken by the C- ter for Sustainable Urban Regeneration (cSUR). The center was est- lished in 2003 by a research fund titled the 21st Century Center of Exc- lence (COE) Program provided by the Ministry of Education, Culture, Sports, Science and Technology of Japan. The project leader was Shi- chiro Ohgaki, a professor in the Department of Urban Engineering of the University of Tokyo. cSUR integrates the four specific fields of urban planning, architecture, civil engineering, and environmental engineering with the participation of over a hundred researchers of the university. The objective of the center is to create an integrated approach to, and knowledge for, sustainable urban regeneration based on a global network of researchers and professionals; and to coordinate an international research alliance that consists of leading academic institutions worldwide. The project was carried out by four research units: A. Environment Management B. Urban Stock Management C. Social Information Management D. Action Studies Each unit consisted of smaller subunits. The third unit, which includes the contributors to this book, consisted of three smaller groups: C-1) The Next Generation Geographic Information System Integrating Human and Social Information C-2) Decoding and Analysis of Historical and Cultural Information Concerning Urban Space C-3) Participatory Planning and Urban Space Management Support Systems

Author: Dale S. Rothman
Publisher: Routledge
ISBN: 1317262956
Category : Political Science
Languages : en
Pages : 391

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Building Global Infrastructure is the fourth in a series of volumes-Patterns of Potential Human Progress-that uses the International Futures (IFs) simulation model to explore prospects for human development: how development appears to be unfolding globally and locally, how we would like it to evolve, and how better to assure that we move it in desired directions. Earlier volumes addressed the reduction of global poverty, the advance of global education, and the improvement of global health. Volume 4 sets out to tell the story of the future of global infrastructure. The approach used in this book focuses on the question of whether individual societies will be able to meet future infrastructure demands. Related questions include the following: * What is the range of realistically conceivable futures for infrastructure, considering both demand and supply? * How are the demands for infrastructure balanced with the ability to meet these demands, thereby linking the physical and financial treatment of infrastructure? * What are the effects of providing for infrastructure on issues such as economic productivity and health?

Author: Zhamak Dehghani
Publisher: "O'Reilly Media, Inc."
ISBN: 1492092363
Category : Computers
Languages : en
Pages : 387

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Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309287812
Category : Mathematics
Languages : en
Pages : 191

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Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.

Author: William Outhwaite
Publisher: SAGE
ISBN: 1446206459
Category : Social Science
Languages : en
Pages : 641

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"An excellent guidebook through different approaches to social science measurement, including the all-important route-maps that show us how to get there." - Roger Jowell, City University "In this wide-ranging collection of chapters, written by acknowledged experts in their fields, Outhwaite and Turner have brought together material in one volume which will provide an extremely important platform for consideration of the full range of contemporary analytical and methodological issues." - Charles Crothers, Auckland University of Technology This is a jewel among methods Handbooks, bringing together a formidable collection of international contributors to comment on every aspect of the various central issues, complications and controversies in the core methodological traditions. It is designed to meet the needs of those disciplinary and nondisciplinary problem-oriented social inquirers for a comprehensive overview of the methodological literature. The text is divided into 7 sections: Overviews of methodological approaches in the social sciences Cases, comparisons and theory Quantification and experiment Rationality, complexity and collectivity Interpretation, critique and postmodernity Discourse construction Engagement. Edited by two leading figures in the field, the Handbook is a landmark work in the field of research methods. More than just a ′cookbook′ that teaches readers how to master techniques, it will give social scientists in all disciplines an appreciation for the full range of methodological debates today, from the quantitative to the qualitative, giving them deeper and sharpen insights into their own research questions. It will generate debate, solutions and a series of questions for researchers to exploit and develop in their research and teaching.

Author: Angela-Cristina Lumezeanu
Publisher:
ISBN:
Category :
Languages : en
Pages : 566

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Author: Mashrur Chowdhury
Publisher: Elsevier
ISBN: 0128098511
Category : Business & Economics
Languages : en
Pages : 346

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Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications

Author: Bojan Bozic
Publisher: Springer
ISBN: 3319462245
Category : Computers
Languages : en
Pages : 133

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This book constitutes the refereed post-proceedings of the Second IFIP WG 12.7 International Workshop on Computational History and Data-Driven Humanities, held in Dublin, Ireland, in May 2016. The 7 full papers presented together with 2 invited talks and 4 lightning talks were carefully reviewed and selected from 14 submissions. The papers focus on the challenge and opportunities of data-driven humanities and cover topics at the interface between computer science, social science, humanities, and mathematics.

Author:
Publisher:
ISBN:
Category : Economic assistance, Domestic
Languages : en
Pages : 636

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