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Issue No:3, Vol.3 |
March - 2010 |
ISSN: 0974-5645 |
| RESEARCH ARTICLES |
Viewers & PDF |
| 32. Proposed architectural model for optimal transformation of decision table and decision tree into knowledge base. M. Shuaib Qureshi, M. Imran Saeed and Syed M. Saqlain (2010) Indian J.Sci.Technol. Vol. 3, Issue 3, pp: 362-365. Domain site: http://www.indjst.org. |
 
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- Abst ract
Knowledge is one of the most precious resources of an organization. Every organization wishes to preserve and fully
utilize its knowledge. Within organization knowledge is present in various forms, may be in the minds of workers or in
documented form. In documented form the knowledge has various representation schemes such as frames, scripts,
lists, decision trees and decision tables etc. We have proposed a transformation method to optimally transform
knowledge present in decision trees and decision tables into knowledge base. According to our proposal, the
knowledge present in these two representation schemes should first be converted into corresponding set of human
interpretable rules by using some existing transformation algorithms. The decision tree should be converted directly
into set of human interpretable rules but for decision table transformation, two ways are adopted; either it should be
converted first into decision tree and then to set of rules or, should be converted directly into set of rules. Once the set
of rules is obtained then it will be optimized by using some existing optimization algorithms and unnecessary conditions
will be omitted. After rules optimization process, comparison with the existing rules in the knowledge base is carried
out. If these optimized rules are not found in the knowledge base, it should be added. If some rules need updation, then
these should be added after updation. During comparison those rules which already exist in the knowledge base
should be omitted.
- Keywords: Decision table; decision tree; knowledge base; transformation; optimization.
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