Economic process optimization deployed by companies with complex activity production – trade – services using informatics systems with integrated data mining techniques
Keywords:
optimization, informatics system, economic process, data mining, data analysisAbstract
There are many economic processes deployed by companies with a complex activity that can be optimized, among the most common being: supply, production/service, distribution, sales, suppliers/customers relationships, inventory management, human resources management, financial management, etc.After the deployment of business processes related data is obtained. The analysis of the related data must be the starting point in any attempt to optimize the economic processes because this data best reflects the actual situation of the company.In order to carry out such an analysis, several approaches have emerged to extract knowledge from the data accumulated. The first solution is to use specific software to analyze the available data. Another solution that can be successfully used is the implementation of data mining techniques within the database management software available supposing it is a new generation one.References
· Mihai Andronie, Modern Data Mining Techniques, “The Ninth International Conference on Informatics in Economy IE”, Bucharest 2009, p. 753-757.
· Maria Andronie, Mihai Andronie, Data Mining Techniques Used in Metallurgic Industry, “Metalurgia International” vol. XIV (2009) special issue no. 12.
· Maria Andronie, Mihai Andronie, New Applications of Enterprise Resource Planning in the Metallurgic Industry, “Metalurgia International”.
· Jiawei Han, Micheline Kamber, Data Mining. Concepts and Techniques, Second Edition, Elsevier, 2006.
· Zhao Hui Tang, Jamie MacLennan, Data Mining with SQL Server 2005, Wiley, 2005.
· Zenovic Gherasim, Doina Fusaru, Maria Andronie, Sisteme informatice pentru asistarea deciziei economice, Fundaţia România de Mâine Publishing House, Bucharest, 2008.
· Andrei Mihalache, Adrian Ghencea, Ion Lungu, Adaptive Information Systems –, the Premise for Self Learning Systems, “Proceedings of the International Business Information Management Conference” (13th IBIMA) on 9-10 November 2009, Marrakech, Morocco.