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Advances in knowledge-based information systems

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History is full of innovative researchers, such as; Aristotle, Newton and Einstien. This cumulative evolutionary of science has stimulated industrial activitiy and ultimately contributes to society. The publication of science also contributes to the body of collective knowledge and enables researchers to build on the success of its pioneers. A sequenced example of fundamental principles, by Ørsted, Faraday and Maxwell, highlights the evolution of electromagnetic induction, from electric currents through to validated concepts associated with Electro-Magnetic Fields (EMF). This chapter documents innovative contributions representing advances in Knowledge-Based and Intelligent Information and Engineering System. New research recognises that society is familiar with modern AIP technology and documents how they routinely incorporate Artificial Intelligence (AI) techniques into industrial applications. There is an increasing reliance on automatically processing declarative knowledge with less human input. Society has already digitised its past and continues to progressively automate knowledge management for future access by mobile systems. This book focuses on this trend and collectively discusses select topics. They are grouped into five categories that include: classifiers, data mining, knowledge management, AIP techniques and a number of models that can be used to solve industrial level problem. Each topic represents the state of art in research by innovative subject matter experts. All five categorise represent a broad spread of topics across the domain and highlight how research is being realised to benefit society. Students, professionals and interested observers within the knowledge-based and intelligent information management domain will benefit from the diversity and richness of the content.




Tweedale, J. W., & Jain, L. C. (2015). Advances in knowledge-based information systems. Smart Innovation, Systems and Technologies, 30, 1–18.

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