Data Analysis Information Processing

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.


In the present book, fifteen typical literatures about Data Analysis Information Processing published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on A network epidemic model, Data processing, ost-processing of 1D 1H-NMR data, etc. We hope this book can demonstrate advances in Data Analysis Information Processing as well as give references to the researchers, students and other related people.

Components of the Book:
  • Chapter 1
    A network epidemic model for online community commissioning data
  • Chapter 2
    A rare event approach to high-dimensional approximate Bayesian computation
  • Chapter 3
    The dominance-based rough set approach to cylindrical plunge grinding process diagnosis
  • Chapter 4
    Discovering topic structures of a temporally evolving document corpus
  • Chapter 5
    Robust estimation and moment selection in dynamic fixed-effects panel data models
  • Chapter 6
    Structure and chemistry of liquid Al–Cu alloys: molecular dynamics study versus thermodynamics-based modeling
  • Chapter 7
    Pointing to Visible and Invisible Targets
  • Chapter 8
    An ontology supported risk assessment approach for the intelligent configuration of supply networks
  • Chapter 9
    Participatory Guarantee Systems (PGS) in Mexico: a theoretic ideal or everyday practice?
  • Chapter 10
    Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis
  • Chapter 11
    Comparison of pre-processing methodologies for Illumina 450k methylation array data in familial analyses
  • Chapter 12
    Integrated Bio-Search: challenges and trends for the integration, search and comprehensive processing of biological information
Readership: Students, academics, teachers and other people attending or interested in Data Analysis Information Processing.
Clement Lee, School of Mathematics and Statistics, Newcastle University, Newcastle upon Tyne, UK

Dennis Prangle, Newcastle University, Newcastle upon Tyne, UK

Adham Beykikhoshk, Pattern Recognition and Data Analytics Centre, Deakin University, Geelong, Australia

Claire Palmer, Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Lough borough University, Lough borough, UK

C Hart Poskar, Department of Physiology and Cell Biology, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Germany

and more...
This Book

331pp. Published March 2018

Scientific Research Publishing, Inc., USA.

Category:Computer Science & Communications

ISBN: 978-1-61896-501-1

(Hardcover) USD 109.00

ISBN: 978-1-61896-501-1

(Paperback) USD 89.00

Authors/Editors Price: 40% off
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