Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts
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Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts

Joan Lu (University of Huddersfield, UK) and Qiang Xu (University of Huddersfield, UK)
Indexed In: SCOPUS View 2 More Indices
Release Date: February, 2017|Copyright: © 2017 |Pages: 425|DOI: 10.4018/978-1-5225-1884-6
ISBN13: 9781522518846|ISBN10: 1522518843|EISBN13: 9781522518853
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Description

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.

Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts 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 knowledge discovery, spatial indexing, and data mining, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Data Mining
  • Data Processing
  • Interactive Visual Analytics
  • Knowledge Discovery
  • Social Media
  • Spatial Indexing
  • User Segmentation

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Joan Lu is Professor in Informatics in the University of Huddersfield. She has been working in the areas of XML database, information retrieval research, mobile computing, Internet computing, mobile learning, etc. Her research projects have been collaborated with several EU, UK and other international institutions and industrial partners. The research work has been published into public domain together with a number of researchers in the academic world. She is also a member of British Computer Society, and Fellow of Higher Education Academy, UK.
Dr Xu has been Senior Lecturer in Mechanical/Automotive Engineering at the School of Computing and Engineering, since June 2013 to present. He is a specialist in computational creep damage mechanics. Previously, Dr Xu was Senior Lecturer in Mechanical/Manufacturing Engineering in the School of Science and Engineering at Teesside University from 2006 to 2013. In this role, Dr Xu supervised a number of PhD research projects and completed over 15 consultancy and grant applications. In addition he has held academic appointments at the Swansea Institute of Higher Education and as a Research Fellow and Senior Research Fellow at the University of Huddersfield and Research Associate at UMIST, Manchester, UK. Dr Xu’s research work mainly on the computational modelling and analysis for engineering and his work has been cited worldwide by researchers in eight nations including China, the USA, Germany, India, Iran, Russia et al. Further information can be found at University website: https://www.hud.ac.uk/ourstaff/profile/index.php?staffid=1212

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