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
Link To Document :
بازگشت