DocumentCode
2166258
Title
Extended KDSODTEX to extract comprehensible representation of business rule for software engineering process
Author
Sethi, Kamal Kumar ; Mishra, Durgesh Kumar ; Mishra, Bharat
Author_Institution
Acropolis Inst. of Technol. & Res., Indore, India
fYear
2012
fDate
5-7 Sept. 2012
Firstpage
1
Lastpage
6
Abstract
KDSODTEX algorithm extracts second order decision table from first order decision table extracted by KDRuleEx. The KDSODTEX algorithm works well with categorical data sets. One improvement that is required that KDSODTEX should also support the continuous value attribute. In this paper extended version of KDSODTEX algorithm, Ex-KDSODTEX which handles both categorical and continuous valued attribute has proposed. The result shows that an accurate and comprehensible higher order decision table can be extracted using Ex-KDSODTEX for both categorical and continuous value attribute. Using this algorithm business rule can also be automatically generated using dataset.
Keywords
decision tables; knowledge acquisition; knowledge representation; software engineering; Ex-KDSODTEX; KDRuleEx; KDSODTEX algorithm; business rule; categorical data set; categorical valued attribute; comprehensible representation extraction; continuous value attribute; continuous valued attribute; extended KDSODTEX; first order decision table; second order decision table extraction; software engineering process; Business; Data mining; Electronic mail; Iris; Software; Software algorithms; Software engineering; Business Rule; Comprehensibility; Decision Table; Rule Extraction; Second Order Decision Table; Software Engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (CONSEG), 2012 CSI Sixth International Conference on
Conference_Location
Indore
Print_ISBN
978-1-4673-2174-7
Type
conf
DOI
10.1109/CONSEG.2012.6349525
Filename
6349525
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