Noertjahyana, Agustinus and Budhi, Gregorius S. and Wibowo, Henny Kusumawati (2010) Mining Sequential Pattern on Sequential Data of Paint Sales Transaction Flow. 2nd International Conference SIIT 2010.
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Nowadays, information holds an important issue on every aspect in life. Business, daily life, and education sectors need information. The information discussion in this paper is more focused on the sequential data of the paint sales process to get association pattern between items bought according to the salesman’s name or at some periods of time. Analysis about the design of this application has been done from the company‘s data which is the sales transaction from the customer at a period of time. The data is transformed to form that can be processed by the software. After that, the data was input to a database and processed according to the mining sequential pattern algorithm. As the result are association rules and sequential association rules from the paint buying process. This application uses Borland Delphi 7.0 software and Microsoft Office Access 2003 for the database. The data mining of this data enable the software to give information for the company about the relation between paint items that have been bought same time or sequential. Software also displays rules, graphic and tree diagram in text, that make it easier for the user to do further analysis.
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
Q Science > QA Mathematics > QA76 Computer software
|Divisions:||Faculty of Industrial Technology > Informatics Engineering Department|
|Depositing User:||Gregorius Satiabudhi|
|Date Deposited:||24 Aug 2011 11:17|
|Last Modified:||24 Aug 2011 11:17|
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