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Domain Driven Data Mining: An… ‣ Reduce the number of issues. ‣ Increase the customer satisfaction ‣ Increase the number of customer requirements ‣ No need to wait for SLA ‣ Efficient way to fix the issue. Thus our proposed methodology provides a better solution to manage the issues arised in the IT field. Diagrammatic Representation The diagrammatic representation of the proposed methodology is given in figure 1. Start Get the User Tickets Categorize the Tickets No Check for issues Yes Analysis the category of the tickets causing more issues Apply RCA on that category Analysis the cause for issues Is there any option to fix the issue? No Yes Apply CI for the tickets X A www.<strong>ijcer</strong>online.com ||May ||2013|| Page 34
Domain Driven Data Mining: An… X A Process the Tickets Find solutions to fix the error Is the obtained solution reduces the issue? No Yes Apply the solution on the tickets to fix the issue Stop Fig.1 Representation of Proposed Method Implementation Algorithm Begin Get the tickets from the user Categorize the tickets based on the concern For i in 1 to n categories If issues on tickets = true then ICat = category(i) End if Next Apply RCA on ICat Cause = Identify the root cause for the issue using RCA If Cause possible to solve then Apply CI on the tickets Solution = Identify the solution using CI End if If Solution minimize the issue then Apply Solution to fix the issue End if End VI. EXPERIMENTAL RESULTS The experiment is taken out in banking sector in order to verify the efficiency of our proposed method. In that banking sector, we undergo an experiment with two sections. First, we test the result of processing the tickets without implementing this proposed methodology. Also, each ticket is processed independently and so the time consumption to process the ticket becomes more. Secondly, we implement proposed methodology to verify the result. these tickets have been categorized and then it undergoes for processing. using proposed www.<strong>ijcer</strong>online.com ||May ||2013|| Page 35
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International Journal of computatio
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International Journal of Computatio
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REFERENCES Mutual Funds and SEBI Re
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Simulation studies on Deep Drawing
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Radial strain Radial Strain Hoop St
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Text Extraction in Video II. MAIN C
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Strength of Ternary Blended Cement
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Comparative Study of Available Tech
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Cfd Analysis of Convergent- Diverge
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Using Fast Fourier Extraction Metho
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P= Number of Poles. d) Fourth Objec
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Using Genetic Algorithm Minimizing
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Modeling and Analysis of the Cranks
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Traditional Uses Of Plants By The T
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