Dear Data
Dear Data

Author: Giorgia Lupi

Publisher: Chronicle Books

Published: 2016-09-13

Total Pages: 304

ISBN-13: 1616895462

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Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Big Data Security
Big Data Security

Author: Shibakali Gupta

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2019-10-08

Total Pages: 153

ISBN-13: 3110606054

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THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research findings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the field and create a broad knowledge about the most recent research. Series Editor Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bangalore, India Editorial Advisory Board Dr. Elizabeth Behrman, Wichita State University, Kansas, USA Dr. Goran Klepac Dr. Leo Mrsic, Algebra University College, Croatia Dr. Aboul Ella Hassanien, Cairo University, Egypt Dr. Jan Platos, VSB-Technical University of Ostrava, Czech Republic Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland Dr. Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil

The Enterprise Data Catalog
The Enterprise Data Catalog

Author: Ole Olesen-Bagneux

Publisher: "O'Reilly Media, Inc."

Published: 2023-02-15

Total Pages: 222

ISBN-13: 1492098671

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Combing the web is simple, but how do you search for data at work? It's difficult and time-consuming, and can sometimes seem impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog. You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog. Written from a data management perspective and from a library and information science perspective, this book helps you: Learn what a data catalog is and how it can help your organization Organize data and its sources into domains and describe them with metadata Search data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphs Manage the data in your company via a data catalog Implement a data catalog in a way that exactly matches the strategic priorities of your organization Understand what the future has in store for data catalogs

Catalogue 2.0
Catalogue 2.0

Author: Sally Chambers

Publisher: Facet Publishing

Published: 2013-07-23

Total Pages: 241

ISBN-13: 1856047164

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Will there be a library catalogue in the future and, if so, what will it look like? In the last 25 years, the library catalogue has undergone an evolution, from card catalogues to OPACs, discovery systems and even linked data applications making library bibliographic data accessible on the web. At the same time, users expectations of what catalogues will be able to offer in the way of discovery have never been higher. This groundbreaking edited collection brings together some of the foremost international cataloguing practitioners and thought leaders, including Lorcan Dempsey, Emmanuelle Bermès, Marshall Breeding and Karen Calhoun, to provide an overview of the current state of the art of the library catalogue and look ahead to see what the library catalogue might become. Practical projects and cutting edge concepts are showcased in discussions of: - linked data and the Semantic Web - user expectations and needs - bibliographic control - the FRBRization of the catalogue - innovations in search and retrieval - next-generation discovery products and mobile catalogues. Readership: Cataloguers and metadata specialists, library adminstrators and managers responsible for planning and strategy, systems librarians, user services managers, electronic resources librarians, and digital library project managers, students on cataloguing, information management and digital library courses.

DAMA-DMBOK
DAMA-DMBOK

Author: Dama International

Publisher:

Published: 2017

Total Pages: 628

ISBN-13: 9781634622349

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Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.

Database and Expert Systems Applications - DEXA 2021 Workshops
Database and Expert Systems Applications - DEXA 2021 Workshops

Author: Gabriele Kotsis

Publisher: Springer Nature

Published: 2021-09-20

Total Pages: 257

ISBN-13: 3030871010

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This volume constitutes the refereed proceedings of the workshops held at the 32nd International Conference on Database and Expert Systems Applications, DEXA 2021, held in a virtual format in September 2021: The 12th International Workshop on Biological Knowledge Discovery from Data (BIOKDD 2021), the 5th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS 2021), the 3rd International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2021), the 1st International Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply (AI-CARES 2021), the 1st International Workshop on Time Ordered Data (ProTime2021), and the 1st International Workshop on AI System Engineering: Math, Modelling and Software (AISys2021). Due to the COVID-19 pandemic the conference and workshops were held virtually. The 23 papers were thoroughly reviewed and selected from 50 submissions, and discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence.

Introduction to Metadata
Introduction to Metadata

Author:

Publisher:

Published: 2004

Total Pages:

ISBN-13:

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An overview of metadata: what it is, its types and uses, and how it can help to make Web resources more accessible and comprehensible. Contains articles, a glossary, and a list of acronyms relating to metadata.

Data Visualisation
Data Visualisation

Author: Andy Kirk

Publisher: SAGE

Published: 2019-07-08

Total Pages: 329

ISBN-13: 1526482908

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With over 200 images and extensive how-to and how-not-to examples, the new edition of the book The Financial Times voted one of the ‘six best books for data geeks’ has everything students and scholars need to understand and create effective data visualisations.