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From data mining to rule refining. A new tool for post data mining rule optimisation
Vancouver, British Columbia, Canada November 13-November 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TAI.2000.88984912th IEEE International Conference on ...
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E. Keedwell, F. Bessler, A. Narayanan, D. Savic, "From data mining to rule refining. A new tool for post data mining rule optimisation," Tools with Artificial Intelligence, IEEE International Conference on, pp. 0082, 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00), 2000.
 
 
BibTex
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@article{ 10.1109/TAI.2000.889849,
author = {E. Keedwell and F. Bessler and A. Narayanan and D. Savic},
title = {From data mining to rule refining. A new tool for post data mining rule optimisation},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2000},
isbn = {0-7695-0909-6},
pages = {0082},
doi = {http://doi.ieeecomputersociety.org/10.1109/TAI.2000.889849},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - From data mining to rule refining. A new tool for post data mining rule optimisation
SN - 0-7695-0909-6
SP
EP
A1 - E. Keedwell,
A1 - F. Bessler,
A1 - A. Narayanan,
A1 - D. Savic,
PY - 2000
KW - data mining; very large databases; optimisation; expert systems; post data mining rule optimisation; rule refining; Rule Refiner; software tool; rule visualisation; expert systems; predictive accuracy; rule sets; large databases
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
E. Keedwell, Sch. of Eng., Exeter Univ., UK
F. Bessler, Sch. of Eng., Exeter Univ., UK
A. Narayanan, Sch. of Eng., Exeter Univ., UK
D. Savic, Sch. of Eng., Exeter Univ., UK
Abstract: The discovery of information from data and its presentation to the user have long been the primary goals of data mining. This paper describes a new software tool, the Rule Refiner, which focuses on post data mining operations, the optimisation of rules, the visualisation of rule characteristics and their validity within domain data. The system also provides facilities for the manipulation of this information and the combination of knowledge from a variety of sources. These features allow a highly problem-specific model to be created that makes use of domain knowledge, be it discovered by algorithms and/or learnt by human experts. This can lead towards expert systems with better predictive accuracy or more understandable rule sets and sometimes even both, as data mining algorithms perform with different quality according to the domain they are applied to.
Index Terms:
data mining; very large databases; optimisation; expert systems; post data mining rule optimisation; rule refining; Rule Refiner; software tool; rule visualisation; expert systems; predictive accuracy; rule sets; large databases
Citation:
E. Keedwell, F. Bessler, A. Narayanan, D. Savic, "From data mining to rule refining. A new tool for post data mining rule optimisation," ictai, pp.0082, 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'00), 2000
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