Journal Article


Discovering and investigating cyberpatterns: The road map to link data analytics with reusable knowledge

Abstract

‚ÄčOne of the most compelling challenges for data analytics is to obtain reusable, verifiable and transferable knowledge from data. One solution to this is the pattern-oriented approach to knowledge representation proposed by this paper. The foundation of the approach is a formal theory of patterns, including a formal language for defining them, and an algebra of operations for composing patterns and instantiating them. This paper outlines a roadmap for the study of so-called cyberpatterns: the patterns of cyberspace. It explores the scope of research, views the current state of the art and identifies the key research questions.

Attached files

Authors

Zhu, Hong
Bayley, Ian

Oxford Brookes departments

Faculty of Technology, Design and Environment\School of Engineering, Computing and Mathematics

Dates

Year of publication: 2018
Date of RADAR deposit: 2018-03-28



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This RADAR resource is the Accepted Manuscript of Discovering and investigating cyberpatterns: The road map to link data analytics with reusable knowledge

Details

  • Owner: Daniel Croft
  • Collection: Outputs
  • Version: 1 (show all)
  • Status: Live