DocumentCode :
2915002
Title :
Process mining: Converting data from MS-Access Database to MXML format
Author :
Nammakhunt, A. ; Romsaiyud, Walisa ; Porouhan, Parham ; Premchaiswadi, Wichian
Author_Institution :
Grad. Sch. of Inf. Technol., Siam Univ., Bangkok, Thailand
fYear :
2012
fDate :
21-23 Nov. 2012
Firstpage :
205
Lastpage :
212
Abstract :
ProM is a generic open-source framework for implementing process mining tools in a standard environment. The ProM framework receives as input logs in the MXML (Mining eXtensible Markup Language) and XES (eXtensible Event Stream) formats. These formats follow a specified schema definition, which means that logs do not consist of random and disorganized information; they rather contain all the elements needed by the plug-ins at a known location. In this paper, we chose PromImport as a framework to extract MXML log from the data source. The data was received in form of the Database in Microsoft Access. It contained various tables recording information about students´ registration in one of the universities in Thailand. Once the relevant data was located, the extraction and conversion sound fairly straightforward but yet the challenge was how to support event data matched with MXML format. To do this, initially, four tables with a certain structure were filled with data. Secondly a Visual Basic script was written and finally an ODBC connection with Access Database was established.
Keywords :
XML; data mining; database management systems; MS-Access database; MXML format; MXML log extraction; Microsoft Access; ODBC connection; ProM framework; PromImport framework; Thailand; Visual Basic script; XES format; data conversion; extensible event stream; mining extensible markup language; process mining; process mining tool; schema definition; student registration; Business; Data mining; Databases; Educational institutions; PROM; Standards; Visual BASIC; MS Database; MXML; Process Mining; Visual Basic Script; student´s registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICT and Knowledge Engineering (ICT & Knowledge Engineering), 2012 10th International Conference on
Conference_Location :
Bangkok
ISSN :
2157-0981
Print_ISBN :
978-1-4673-2316-1
Type :
conf
DOI :
10.1109/ICTKE.2012.6408557
Filename :
6408557
Link To Document :
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