Big Data Nouvelles Partitions De Linformation

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Innovations, Reinvented Politics and Representative Democracy

Author : Agnès Alexandre-Collier
Publisher : Routledge
ISBN 13 : 0429649223
Total Pages : 195 pages
Book Rating : 4.4/5 (296 download)

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Book Synopsis Innovations, Reinvented Politics and Representative Democracy by : Agnès Alexandre-Collier

Download or read book Innovations, Reinvented Politics and Representative Democracy written by Agnès Alexandre-Collier and published by Routledge. This book was released on 2020-04-07 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on the issue of change in democratic politics in terms of experimental or actual innovations introduced either within political parties or outside the party system, involving citizen participation and mobilization. Including a wide and diverse range of alternatives in the organization of groups, campaigning, conducting initiatives and enhancing practices, they not only question the relevance of traditional institutions in representing citizens’ values and interests, but also share a common goal which is precisely – and perhaps paradoxically – to reshape and invigorate representative democracy This book is of key interest to scholars and students of party politics, elections/electoral studies, social movement and democratic innovations and more broadly to comparative politics, political theory and political sociology.

Research Data Sharing and Valorization

Author : Joachim Schöpfel
Publisher : John Wiley & Sons
ISBN 13 : 1394163401
Total Pages : 276 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Research Data Sharing and Valorization by : Joachim Schöpfel

Download or read book Research Data Sharing and Valorization written by Joachim Schöpfel and published by John Wiley & Sons. This book was released on 2022-08-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: As platforms for sharing, re-using and storing data, research data repositories are integral to open science policy. This book provides a comprehensive approach to these data repositories, their functionalities, uses, issues and prospects. Taking France as an example, the current landscape of data repositories is considered, including discussion of the idea of a national repository and a comparative study of several national systems. The international re3data directory is outlined and a collection of six case studies of model repositories, both public and private, are detailed (CDS, Data INRAE, SEANOE, Nakala, Figshare and Data Mendeley). Research Data Sharing and Valorization also includes appendices containing a number of websites and reference texts from the French Ministry of Higher Education, Research and Innovation, and the CNRS. To the authors’ knowledge, it is the first book to be entirely devoted to these new platforms and is aimed at researchers, teachers, students and professionals working with scientific and technical data and information.

The Creative Capabilities of Open Organizations

Author : Emilie Ruiz
Publisher : John Wiley & Sons
ISBN 13 : 1394284217
Total Pages : 171 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis The Creative Capabilities of Open Organizations by : Emilie Ruiz

Download or read book The Creative Capabilities of Open Organizations written by Emilie Ruiz and published by John Wiley & Sons. This book was released on 2024-04-09 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Regionalization of the World

Author : Pierre Beckouche
Publisher : John Wiley & Sons
ISBN 13 : 1789451582
Total Pages : 324 pages
Book Rating : 4.7/5 (894 download)

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Book Synopsis Regionalization of the World by : Pierre Beckouche

Download or read book Regionalization of the World written by Pierre Beckouche and published by John Wiley & Sons. This book was released on 2024-05-21 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the world map, macro-regions or global regions have gradually emerged, with varying degrees of success and following different trajectories. The authors of this book attempt to determine whether, within the context of globalization, these macro-regions have become an additional level in the spatial deployment of numerous actors, and whether they have come to stand between the national and global levels. This question has arisen because the increasing scales of trade, environmental problems, migration routes, energy distribution, the construction of major infrastructures etc. transcend national boundaries and are leading states to implement macro-regional cooperation. The authors ask whether these large regional groupings are becoming genuine territories and are the fruit of in-depth regional integration – economic, institutional, legal, normative, political, cultural and in terms of identity. If so, these global regions would therefore become referents that make sense and take root in social representations.

Big data

Author : Calderan
Publisher :
ISBN 13 : 9782804193829
Total Pages : 0 pages
Book Rating : 4.1/5 (938 download)

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Book Synopsis Big data by : Calderan

Download or read book Big data written by Calderan and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data and Archaeology

Author : François Djindjian
Publisher : Archaeopress Publishing Ltd
ISBN 13 : 1789697220
Total Pages : 106 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis Big Data and Archaeology by : François Djindjian

Download or read book Big Data and Archaeology written by François Djindjian and published by Archaeopress Publishing Ltd. This book was released on 2021-08-05 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of Big Data is a recent and debated issue in Digital Archaeology. Papers consider the historiographic context and current developments, as well as comprehensive examples of a multidisciplinary and integrative approach to the recording, management and exploitation of excavation data and documents produced over a long period of research.

BIG DATA : nouvelles partitions de l’information

Author : Jacques Millet
Publisher : De Boeck Superieur
ISBN 13 : 2804189155
Total Pages : 156 pages
Book Rating : 4.8/5 (41 download)

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Book Synopsis BIG DATA : nouvelles partitions de l’information by : Jacques Millet

Download or read book BIG DATA : nouvelles partitions de l’information written by Jacques Millet and published by De Boeck Superieur. This book was released on 2015-02-03 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Le Big Data est omniprésent dans les médias. Qualifié de source d’innovation, de richesses, de création d’emplois, d’enjeu démocratique quand il est « open », le Big Data fascine et effraye à la fois. Mais de quoi parle-t-on exactement ? Ces données massives sont-elles du seul domaine des informaticiens, des statisticiens, des politiques et des créateurs d’entreprises ? Les professionnels de l’information-documentation n’ont-ils pas un rôle à jouer dans ce nouveau paysage : identification, qualification, archivage, classification ? Cet ouvrage rassemble les contributions de spécialistes issus de diverses disciplines et réunis au colloque Inria en octobre 2014. Dans le flou lié à la mutation profonde que connaît actuellement le paysage informationnel, ils donnent les clés pour appréhender ce nouveau domaine et pour percevoir la place réservée aux compétences métier de l’information-documentation. Pour les professionnels de la documentation ; pour les chercheurs et enseignants en information et documentation. LE SÉMINAIRE IST INRIA Depuis 1982, Inria, établissement public de recherche dédié aux sciences du numérique, organise tous les 2 ans un séminaire à l’intention des professionnels de l’information et de la documentation autour de thématiques émergentes. Pendant une semaine, des intervenants d’horizons variés (documentalistes, enseignants-chercheurs en sciences de l’information, en sciences sociales ou du numérique, acteurs du monde économique...) vont partager leurs connaissances, selon des angles différents en fonction de leur spécialité. Le séminaire et l’ouvrage qui en est issu sont un rendez-vous attendu des professionnels de l’information.

Clustering Methodology for Symbolic Data

Author : Lynne Billard
Publisher : John Wiley & Sons
ISBN 13 : 0470713933
Total Pages : 348 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Clustering Methodology for Symbolic Data by : Lynne Billard

Download or read book Clustering Methodology for Symbolic Data written by Lynne Billard and published by John Wiley & Sons. This book was released on 2019-11-04 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers everything readers need to know about clustering methodology for symbolic data—including new methods and headings—while providing a focus on multi-valued list data, interval data and histogram data This book presents all of the latest developments in the field of clustering methodology for symbolic data—paying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analyses. Filled with examples, tables, figures, and case studies, Clustering Methodology for Symbolic Data begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering. Provides new classification methodologies for histogram valued data reaching across many fields in data science Demonstrates how to manage a large complex dataset into manageable datasets ready for analysis Features very large contemporary datasets such as multi-valued list data, interval-valued data, and histogram-valued data Considers classification models by dynamical clustering Features a supporting website hosting relevant data sets Clustering Methodology for Symbolic Data will appeal to practitioners of symbolic data analysis, such as statisticians and economists within the public sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bioengineering.

Data Analysis, Machine Learning and Applications

Author : Christine Preisach
Publisher : Springer Science & Business Media
ISBN 13 : 354078246X
Total Pages : 714 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Data Analysis, Machine Learning and Applications by : Christine Preisach

Download or read book Data Analysis, Machine Learning and Applications written by Christine Preisach and published by Springer Science & Business Media. This book was released on 2008-04-13 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

Information For Efficient Decision Making: Big Data, Blockchain And Relevance

Author : Kashi R Balachandran
Publisher : World Scientific
ISBN 13 : 9811220484
Total Pages : 715 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Information For Efficient Decision Making: Big Data, Blockchain And Relevance by : Kashi R Balachandran

Download or read book Information For Efficient Decision Making: Big Data, Blockchain And Relevance written by Kashi R Balachandran and published by World Scientific. This book was released on 2020-11-19 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can there be reliable information that is also relevant to decision making? Information for Efficient Decision Making: Big Data, Blockchain and Relevance focuses on the consolidation of information to facilitate making decisions in firms, in order to make their operations efficient to reduce their costs and consequently, increase their profitability. The advent of blockchain has generated great interest as an alternative to centralized organizations, where the data is gathered through a centralized ledger keeping of activities of the firm. The decentralized ledger keeping is one of the main features of blockchain that has given rise to many issues of technology, development, implementation, privacy, acceptance, evaluation and so on. Blockchain concept is a follow-up to big data environment facilitated by enormous progress in computer hardware, storage capacities and technological prowess. This has resulted in the rapid acquiring of data not considered possible earlier. With shrewd modeling analytics and algorithms, the applications have grown to significant levels. This handbook discusses the progress in data collection, pros and cons of collecting information on decentralized publicly available ledgers and several applications.

Big Data

Author : Kuan-Ching Li
Publisher : CRC Press
ISBN 13 : 1498760406
Total Pages : 444 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data by : Kuan-Ching Li

Download or read book Big Data written by Kuan-Ching Li and published by CRC Press. This book was released on 2015-09-15 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management—considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environments Big Data Privacy—focuses on models, techniques, and algorithms for preserving Big Data privacy Big Data Applications—illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, and SaaS.

Handbook of Big Data Technologies

Author : Albert Y. Zomaya
Publisher : Springer
ISBN 13 : 331949340X
Total Pages : 890 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Handbook of Big Data Technologies by : Albert Y. Zomaya

Download or read book Handbook of Big Data Technologies written by Albert Y. Zomaya and published by Springer. This book was released on 2017-02-25 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.

Privacy and Security Policies in Big Data

Author : Tamane, Sharvari
Publisher : IGI Global
ISBN 13 : 1522524878
Total Pages : 325 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Privacy and Security Policies in Big Data by : Tamane, Sharvari

Download or read book Privacy and Security Policies in Big Data written by Tamane, Sharvari and published by IGI Global. This book was released on 2017-03-03 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, technological advances have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Privacy and Security Policies in Big Data is a pivotal reference source for the latest research on innovative concepts on the management of security and privacy analytics within big data. Featuring extensive coverage on relevant areas such as kinetic knowledge, cognitive analytics, and parallel computing, this publication is an ideal resource for professionals, researchers, academicians, advanced-level students, and technology developers in the field of big data.

Data Analysis and Related Applications, Volume 2

Author : Konstantinos N. Zafeiris
Publisher : John Wiley & Sons
ISBN 13 : 1786307723
Total Pages : 452 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Data Analysis and Related Applications, Volume 2 by : Konstantinos N. Zafeiris

Download or read book Data Analysis and Related Applications, Volume 2 written by Konstantinos N. Zafeiris and published by John Wiley & Sons. This book was released on 2022-10-25 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.

Information Modelling and Knowledge Bases XXXI

Author : A. Dahanayake
Publisher : IOS Press
ISBN 13 : 1643680455
Total Pages : 562 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Information Modelling and Knowledge Bases XXXI by : A. Dahanayake

Download or read book Information Modelling and Knowledge Bases XXXI written by A. Dahanayake and published by IOS Press. This book was released on 2020-01-06 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information modeling and knowledge bases have become an important area of academic and industry research in the 21st century, addressing complexities of modeling that reach beyond the traditional borders of information systems and academic computer science research. This book presents 32 reviewed, selected and updated papers delivered at the 29th International Conference on Information Modeling and Knowledge Bases (EJC2019), held in Lappeenranta, Finland, from 3 to 7 June 2019. In addition, two papers based on the keynote presentations and one paper edited from the discussion of the panel session are included in the book. The conference provided a forum to exchange scientific results and experience, and attracted academics and practitioners working with information and knowledge. The papers cover a wide range of topics, ranging from knowledge discovery through conceptual and linguistic modeling, knowledge and information modeling and discovery, cross-cultural communication and social computing, environmental modeling and engineering, and multimedia data modeling and systems to complex scientific problem-solving. The conference presentation sessions: Learning and Linguistics; Systems and Processes; Data and Knowledge Representation; Models and Interface; Formalizations and Reasoning; Models and Modeling; Machine Learning; Models and Programming; Environment and Predictions; and Emotion Modeling and Social Networks reflect the main themes of the conference. The book also includes 2 extended publications of keynote addresses: ‘Philosophical Foundations of Conceptual Modeling’ and ́Sustainable Solid Waste Management using Life Cycle Modeling for Environmental Impact Assessment’, as well as additional material covering the discussion and findings of the panel session. Providing an overview of current research in the field, the book will be of interest to all those working with information systems, information modeling and knowledge bases.

Scalable Big Data Architecture

Author : Bahaaldine Azarmi
Publisher : Apress
ISBN 13 : 1484213262
Total Pages : 147 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Scalable Big Data Architecture by : Bahaaldine Azarmi

Download or read book Scalable Big Data Architecture written by Bahaaldine Azarmi and published by Apress. This book was released on 2015-12-31 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution. When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it’s often necessary to delegate the load to Hadoop or Spark and use the No-SQL to serve processed data in real time. This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on. Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools to integrate into that pattern.

Concept Lattices and Their Applications

Author : Engelbert Mephu Nguifo
Publisher : Springer Science & Business Media
ISBN 13 : 3540789200
Total Pages : 292 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Concept Lattices and Their Applications by : Engelbert Mephu Nguifo

Download or read book Concept Lattices and Their Applications written by Engelbert Mephu Nguifo and published by Springer Science & Business Media. This book was released on 2008-03-28 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the refereed proceedings of the Fourth International Conference on Concept Lattices and their Applications, CLA 2006, these 18 revised full papers, together with 3 invited contributions, presented were carefully reviewed and selected from 41 submissions.