Data Mining Methodology in Perspective of Manufacturing Databases

In recent years data mining has become a very popular technique for extracting information from the database in different areas due to its flexibility of working on any kind of databases and also due to the surprising results. This paper is an attempt to introduce application of data mining techniques in the manufacturing industry to which least importance has been given. A taste of implement-able areas in manufacturing enterprises is discussed with a proposed architecture, which can be applied to an individual enterprise as well as to an extended enterprise to get benefit of data mining technique and to share the discovered knowledge among enterprises. The paper proposes conceptual methods for better use of different data mining techniques in product manufacturing life cycle. These techniques include statistical techniques, neural networks, decision trees and genetic algorithms. An integrated and unified data mining platform is anticipated then to improve overall manufacturing process. (Muhammad Shahbaz, Syed Athar Masood, Muhammad Shaheen, Ayaz Khan. Data Mining Methodology in Perspective of Manufacturing Databases. Journal of American Science 2010;6(11):999-1012). (ISSN: 1545-1003).

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