Overview
- Explores various aspects of data engineering and information processing
- Covers relevant themes, such as information generation, representation, structuring, organization, storage, retrieval, navigation, human factors in information systems, and the use of information
- Discusses the processes and procedures in information/data processing and management
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 20)
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Table of contents (13 chapters)
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Front Matter
Keywords
About this book
This book discusses processes and procedures in information/data processing and management. The global market is becoming more and more complex with an increased availability of data and information, and as a result doing business with information is becoming more popular, with a significant impact on modern society immensely. This means that there is a growing need for a common understanding of how to create, access, use and manage business information. As such this book explores different aspects of data and information processing, including information generation, representation, structuring, organization, storage, retrieval, navigation, human factors in information systems, and the use of information. It also analyzes the challenges and opportunities of doing business with information, and presents various perspectives on business information managing.
Editors and Affiliations
Bibliographic Information
Book Title: Data-Centric Business and Applications
Book Subtitle: Evolvements in Business Information Processing and Management—Volume 1
Editors: Natalia Kryvinska, Michal Greguš
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-319-94117-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Softcover ISBN: 978-3-319-94116-5Published: 17 July 2018
eBook ISBN: 978-3-319-94117-2Published: 16 July 2018
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XII, 330
Number of Illustrations: 15 b/w illustrations, 97 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Business Information Systems, Economic Theory/Quantitative Economics/Mathematical Methods