Ontologies and Big Data Considerations for Effective Intelligence

Author:   Joan Lu ,  Qiang Xu
Publisher:   IGI Global
ISBN:  

9781522520580


Pages:   650
Publication Date:   08 February 2017
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Ontologies and Big Data Considerations for Effective Intelligence


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Overview

Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Ontologies and Big Data Considerations for Effective Intelligence is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as visual analytics, spatial databases, retrieval systems, and ontology models, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

Full Product Details

Author:   Joan Lu ,  Qiang Xu
Publisher:   IGI Global
Imprint:   Information Science Reference
Dimensions:   Width: 15.20cm , Height: 3.50cm , Length: 22.90cm
Weight:   1.898kg
ISBN:  

9781522520580


ISBN 10:   1522520589
Pages:   650
Publication Date:   08 February 2017
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Joan Lu, University of Huddersfield, United Kingdom. Qiang Xu, University of Huddersfield, United Kingdom.

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