Now showing items 22-29 of 29

  • Plan recommendation for well engineering. 

    Thomson, Richard; Massie, Stewart; Craw, Susan; Ahriz, Hatem; Mills, Ian (Springer http://dx.doi.org/10.1007/978-3-642-21827-9_45, 2011-07)
    THOMSON, R., MASSIE, S., CRAW, S., AHRIZ, H. and MILLS, I., 2011. Plan recommendation for well engineering. In: K. G. MEHOTRA, C. K. MOHAN, J. C. OH, P. K. VARSHNEY and M. ALI, eds. Modern Approaches in Applied Intelligence: Proceedings of the 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Part II. 28 June – 1 July 2011. Berlin: Springer. Pp. 436-445.
    Good project planning provides the basis for successful offshore well drilling projects. In this domain, planning occurs in two phases: an onshore phase develops a project plan; and an offshore phase implements the plan ...
  • Refinement complements verification and validation 

    Craw, Susan (Elsevier http://dx.doi.org/10.1006/ijhc.1996.0012, 1996-02)
    CRAW, S., 1996. Refinement complements verification and validation. International Journal of Human Computer Studies, 44 (2), pp. 245-256
    Knowledge based systems are being applied in ever increasing numbers. The development of knowledge acquisition tools has eased the “Knowledge Acquisition Bottleneck”. More recently there has been a demand for mechanisms ...
  • Refinement in response to validation. 

    Craw, Susan; Sleeman, D. (Elsevier http://dx.doi.org/10.1016/0957-4174(94)E0025-P, 1995-07)
    CRAW, S. and SLEEMAN, D., 1995. Refinement in response to validation. Expert Systems with Applications, 8 (3), pp. 343-349
    Knowledge-based systems (KBSs) are being applied in ever increasing numbers. In parallel with the development of knowledge acquisition tools is the demand for mechanisms to assure their quality, particularly in safety ...
  • Representing problem-solving for knowledge refinement. 

    Craw, Susan; Boswell, Robin (AAAI (distributed by MIT Press), 1999-09)
    CRAW, S. and BOSWELL, R. 1999. Representing problem-solving for knowledge refinement. In: AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE. AAAI-99. Proceedings of the Sixteenth National Conference on Artificial Intelligence and The Eleventh Annual Conference on Innovative Applications of Artificial Intelligence. 18-22 July 1999. Orlando, Florida. pp. 227-234
    Knowledge refinement tools seek to correct faulty knowledge based systems (KBSs) by identifying and repairing potentially faulty rules. The goal of the KrustWorks project is to provide a source of refinement components ...
  • Retrieval, reuse, revision and retention in case-based reasoning 

    Craw, Susan (Cambridge University Press http://dx.doi.org/10.1017/S0269888906000646, 2005)
    De Mantaras, Ramon Lopez et al, 2005. Retrieval, reuse, revision and retention in case-based reasoning. Knowledge Engineering Review, 20 (3), pp. 215-240.
    Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to ...
  • Self adapting websites: mining user access logs. 

    Bathumalai, Ganesan (The Robert Gordon University School of Computing, 2008-06)
    The Web can be regarded as a large repository of diversified information in the form of millions of websites distributed across the globe. However, the ever increasing number of websites in the Web has made it extremely ...
  • Self-optimising CBR retrieval 

    Jarmulak, Jacek; Craw, Susan; Rowe, Ray (IEEE, 2000-11)
    JARMULAK, J., CRAW, S. and ROWE, R. 2000. Self-optimising CBR retrieval. In: Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence. 13-15 November 2000. Vancouver, Canada. pp.376-383.
    One reason why Case-Based Reasoning (CBR) has become popular is because it reduces development cost compared to rule-based expert systems. Still, the knowledge engineering effortmay be demanding. In this paper we ...
  • User perceptions of relevance and its effect on retrieval in a smart textile archive. 

    Horsburgh, Ben; Craw, Susan; Williams, Dorothy; Burnett, Simon M.; Morrison, Katie; Martin, Suzanne (Springer-Verlag http://dx.doi.org/10.1007/978-3-642-39056-2_11, 2013)
    HORSBURGH, B., CRAW, S., WILLIAMS, D., BURNETT, S., MORRISON, K. and MARTIN, S., 2013. User perceptions of relevance and its effect on retrieval in a smart textile archive. In: S. J. DELANY and S. ONTANON, EDS. Case-Based Reasoning Research and Development: 21st International Conference, ICCBR 2013. 8-11 July 2013. Berlin: Springer-Verlag. Pp. 149-163.
    The digitisation of physical textiles archives is an important process for the Scottish textiles industry. This transformation creates an easy access point to a wide breadth of knowledge, which can be used to understand ...