DocumentCode :
3502421
Title :
A simple process model generation using a new association rule mining algorithm and clustering approach
Author :
Saravanan, M.S. ; Sree, R.J.R.
Author_Institution :
Dept. of I.T in Vel Tech, Bharathiar Univ., Coimbatore, India
fYear :
2011
fDate :
14-16 Dec. 2011
Firstpage :
265
Lastpage :
269
Abstract :
In the recent research area, the association rule mining is one of the popular technique in the domain of data mining. The association rule mining is first implemented in dyeing unit in my previous research papers. But already this association rule mining technique is used in the area of finance, healthcare, automobile and sales and distribution, etc. In this article, the dyeing process, generate the simple process model for the dyeing unit. The simplified process model is not in the form of diagram, instead rules. These rules are developing using association rule mining algorithms. The process mining algorithms, Heuristic Miner (HM) and Disjunctive Workflow Schema (DWS) are used to generate the association rule mining rules. Hence, the proposed LinkRuleMiner (LRM) association rule mining algorithm is implemented in the dyeing unit using HM or DWS algorithm. The dyeing process is dynamic and unstructured in nature. The dyeing process is recorded and stored in the form of event logs. These event logs are converted in to the log file. These log files are given as input to the LRM algorithm. The LRM algorithm produces the simple association rules. These rules can be easily understood by the dyeing expert called dyer to process the colouring process of the dyeing unit. These generated association rules can also be grouped for the same or different shades using the clustering approach. Therefore, this article simplify the dyeing process using LRM algorithm to give better knowledge to the dyer and to reduce the dyeing processing problems of the dyeing unit.
Keywords :
data mining; dyeing; pattern clustering; production engineering computing; LRM algorithm; LinkRuleMiner algorithm; association rule mining algorithm; automobile; clustering approach; colouring process; data mining; diagram form; disjunctive workflow schema; dyeing expert; dyeing unit; dyer; finance; healthcare; heuristic miner; rule form; sales and distribution; simple process model generation; Association rules; Clustering algorithms; Data structures; Databases; Heuristic algorithms; Machine learning algorithms; LinkRuleMiner; association rules; colouring; dyer; event logs; shade;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing (ICoAC), 2011 Third International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-0670-6
Type :
conf
DOI :
10.1109/ICoAC.2011.6165186
Filename :
6165186
Link To Document :
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